R-universe search: world

gshs-ornl

wbstats:Programmatic Access to Data and Statistics from the World Bank API

Search and download data from the World Bank Data API.

Maintained by Jesse Piburn. Last updated 4 years ago.

open-data world-bank world-bank-api worldbank

50.1 match 126 stars 10.06 score 1.1k scripts 3 dependents

tidyverse

tidyr:Tidy Messy Data

Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).

Maintained by Hadley Wickham. Last updated 14 days ago.

tidy-data cpp

12.4 match 1.4k stars 22.88 score 168k scripts 5.5k dependents

ropensci

rnaturalearthdata:World Vector Map Data from Natural Earth Used in 'rnaturalearth'

Vector map data from <https://www.naturalearthdata.com/>. Access functions are provided in the accompanying package 'rnaturalearth'.

Maintained by Philippe Massicotte. Last updated 17 days ago.

24.6 match 14 stars 10.38 score 3.4k scripts 7 dependents

rudeboybert

fivethirtyeight:Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'

Datasets and code published by the data journalism website 'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. Note that while we received guidance from editors at 'FiveThirtyEight', this package is not officially published by 'FiveThirtyEight'.

Maintained by Albert Y. Kim. Last updated 2 years ago.

data-science datajournalism fivethirtyeight statistics

20.4 match 453 stars 10.98 score 1.7k scripts

adeckmyn

maps:Draw Geographical Maps

Display of maps. Projection code and larger maps are in separate packages ('mapproj' and 'mapdata').

Maintained by Alex Deckmyn. Last updated 2 months ago.

15.1 match 24 stars 14.70 score 19k scripts 490 dependents

svmiller

stevedata:Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.

Maintained by Steve Miller. Last updated 5 days ago.

31.1 match 8 stars 5.97 score 178 scripts

ropensci

rnaturalearth:World Map Data from Natural Earth

Facilitates mapping by making natural earth map data from <https://www.naturalearthdata.com/> more easily available to R users.

Maintained by Philippe Massicotte. Last updated 1 days ago.

peer-reviewed

11.8 match 234 stars 15.51 score 7.2k scripts 47 dependents

andysouth

rworldmap:Mapping Global Data

Enables mapping of country level and gridded user datasets.

Maintained by Andy South. Last updated 2 years ago.

15.1 match 30 stars 11.83 score 3.2k scripts 14 dependents

nowosad

spData:Datasets for Spatial Analysis

Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.

Maintained by Jakub Nowosad. Last updated 2 months ago.

datasets raster sf sp spatial spdep

11.8 match 82 stars 13.23 score 3.4k scripts 116 dependents

kjhealy

gssrdoc:Document General Social Survey Variable

The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.

Maintained by Kieran Healy. Last updated 11 months ago.

61.1 match 2.28 score 38 scripts

ropengov

giscoR:Download Map Data from GISCO API - Eurostat

Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.

Maintained by Diego Hernangómez. Last updated 1 months ago.

ropengov spatial api-wrapper eurostat gisco thematic-maps eurostat-data ggplot2 gis

12.3 match 75 stars 10.70 score 424 scripts 5 dependents

dnychka

fields:Tools for Spatial Data

For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.

Maintained by Douglas Nychka. Last updated 9 months ago.

fortran

10.1 match 15 stars 12.60 score 7.7k scripts 295 dependents

tidy-intelligence

wbwdi:Seamless Access to World Bank World Development Indicators (WDI)

Access and analyze the World Bank’s World Development Indicators (WDI) using the corresponding API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. WDI provides more than 24,000 country or region-level indicators for various contexts. 'wbwdi' enables users to download, process and work with WDI series across multiple countries, aggregates, and time periods.

Maintained by Christoph Scheuch. Last updated 19 days ago.

economic-data

22.7 match 4 stars 5.48 score 4 scripts

vincentarelbundock

WDI:World Development Indicators and Other World Bank Data

Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.

Maintained by Vincent Arel-Bundock. Last updated 6 months ago.

12.3 match 212 stars 9.88 score 1.4k scripts 4 dependents

ropensci

rnaturalearthhires:High Resolution World Vector Map Data from Natural Earth used in rnaturalearth

Facilitates mapping by making natural earth map data from http:// www.naturalearthdata.com/ more easily available to R users. Focuses on vector data.

Maintained by Andy South. Last updated 17 days ago.

19.0 match 25 stars 6.40 score 562 scripts 1 dependents

adeckmyn

mapdata:Extra Map Databases

Supplement to maps package, providing some larger and/or higher-resolution databases. NOTE: this is a legacy package. The world map is out-dated.

Maintained by Alex Deckmyn. Last updated 2 years ago.

16.7 match 7.10 score 3.9k scripts 11 dependents

predictiveecology

NetLogoR:Build and Run Spatially Explicit Agent-Based Models

Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky (1999) <http://ccl.northwestern.edu/netlogo/>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of two models from the NetLogo software repository (Ants <http://ccl.northwestern.edu/netlogo/models/Ants>) and Wolf-Sheep-Predation (<http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>), and a third, Butterfly, from Railsback and Grimm (2012) <https://www.railsback-grimm-abm-book.com/>, all written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' Programming Guide (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences are also available. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (<https://cran.r-project.org/package=SpaDES>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = ("<https://rforge.net>"), type = "source")'.

Maintained by Eliot J B McIntire. Last updated 4 months ago.

16.3 match 38 stars 6.94 score 19 scripts

pik-piam

mrremind:MadRat REMIND Input Data Package

The mrremind packages contains data preprocessing for the REMIND model.

Maintained by Lavinia Baumstark. Last updated 17 hours ago.

17.2 match 4 stars 6.26 score 15 scripts 1 dependents

r-world-devs

cohortBuilder:Data Source Agnostic Filtering Tools

Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with 'shinyCohortBuilder' as the GUI for interactive Shiny apps.

Maintained by Krystian Igras. Last updated 6 days ago.

13.3 match 8 stars 7.98 score 55 scripts 1 dependents

whoequity

healthequal:Compute Summary Measures of Health Inequality

Compute 21 summary measures of health inequality and its corresponding confidence intervals for ordered and non-ordered dimensions using disaggregated data. Measures for ordered dimensions (e.g., Slope Index of Inequality, Absolute Concentration Index) also accept individual and survey data.

Maintained by Katherine Kirkby. Last updated 4 months ago.

inequalities measures summary-statistics

21.5 match 1 stars 4.78 score 7 scripts

ropensci

redland:RDF Library Bindings in R

Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <https://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.

Maintained by Matthew B. Jones. Last updated 1 years ago.

redland

12.8 match 17 stars 7.85 score 98 scripts 13 dependents

macroecology

letsR:Data Handling and Analysis in Macroecology

Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.

Maintained by Bruno Vilela. Last updated 2 months ago.

11.3 match 29 stars 8.87 score 104 scripts

ropensci

taxize:Taxonomic Information from Around the Web

Interacts with a suite of web application programming interfaces (API) for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. Some of the services supported include 'NCBI E-utilities' (<https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life' (<https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity Information Facility' (<https://techdocs.gbif.org/en/openapi/>), and many more. Links to the API documentation for other supported services are available in the documentation for their respective functions in this package.

Maintained by Zachary Foster. Last updated 14 days ago.

taxonomy biology nomenclature json api web api-client identifiers species names api-wrapper biodiversity darwincore data taxize

7.2 match 274 stars 13.63 score 1.6k scripts 23 dependents

m-muecke

worldbank:Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs

Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.

Maintained by Maximilian Mücke. Last updated 6 hours ago.

api indicators poverty worldbank worldbank-api

19.9 match 5 stars 4.88 score 6 scripts

r-spatial

s2:Spherical Geometry Operators Using the S2 Geometry Library

Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.

Maintained by Edzer Pebesma. Last updated 1 days ago.

openssl cpp

7.0 match 74 stars 13.76 score 207 scripts 1.2k dependents

r-world-devs

shinyCohortBuilder:Modular Cohort-Building Framework for Analytical Dashboards

You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.

Maintained by Krystian Igras. Last updated 1 months ago.

13.3 match 7 stars 7.05 score 40 scripts

rspatial

geosphere:Spherical Trigonometry

Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

Maintained by Robert J. Hijmans. Last updated 6 months ago.

cpp

6.8 match 36 stars 13.79 score 5.7k scripts 116 dependents

pbs-software

PBSmapping:Mapping Fisheries Data and Spatial Analysis Tools

This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in 'Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include 'C++' code developed by Angus Johnson for the 'Clipper' library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory '.libPaths()', specifically in './PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.

Maintained by Rowan Haigh. Last updated 6 months ago.

cpp

8.8 match 11 stars 10.29 score 652 scripts 9 dependents

robingenuer

VSURF:Variable Selection Using Random Forests

Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.

Maintained by Robin Genuer. Last updated 8 months ago.

11.8 match 36 stars 7.49 score 192 scripts 1 dependents

openintrostat

openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.

Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.

data openintro

7.8 match 240 stars 11.39 score 6.0k scripts

frbcesab

worldpa:An Interface to the World Database on Protected Areas (WDPA)

This package is an interface to the World Database on Protected Areas <https://www.protectedplanet.net> and its API <https://api.protectedplanet.net>. User can download terrestrial and marine protected areas for the world countries (one country at the time).

Maintained by Nicolas Casajus. Last updated 4 years ago.

protected-areas protected-planet shapefile spatial world

22.8 match 14 stars 3.85 score 1 scripts

r-world-devs

GitStats:Standardized Git Repository Data

Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.

Maintained by Maciej Banas. Last updated 1 months ago.

git github gitlab metadata

13.3 match 4 stars 6.51 score 10 scripts 1 dependents

schochastics

networkdata:Repository of Network Datasets

The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.

Maintained by David Schoch. Last updated 12 months ago.

dataset network-analysis

17.3 match 143 stars 5.01 score 143 scripts

sebkrantz

collapse:Advanced and Fast Data Transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.

Maintained by Sebastian Krantz. Last updated 7 days ago.

data-aggregation data-analysis data-manipulation data-processing data-science data-transformation econometrics high-performance panel-data scientific-computing statistics time-series weighted weights cpp openmp

5.1 match 672 stars 16.63 score 708 scripts 97 dependents

hypertidy

quadmesh:Quadrangle Mesh

Create surface forms from matrix or 'raster' data for flexible plotting and conversion to other mesh types. The functions 'quadmesh' or 'triangmesh' produce a continuous surface as a 'mesh3d' object as used by the 'rgl' package. This is used for plotting raster data in 3D (optionally with texture), and allows the application of a map projection without data loss and many processing applications that are restricted by inflexible regular grid rasters. There are discrete forms of these continuous surfaces available with 'dquadmesh' and 'dtriangmesh' functions.

Maintained by Michael D. Sumner. Last updated 3 years ago.

12.5 match 25 stars 6.60 score 53 scripts 1 dependents

modeloriented

DALEX:moDel Agnostic Language for Exploration and eXplanation

Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <https://jmlr.org/papers/v19/18-416.html>.

Maintained by Przemyslaw Biecek. Last updated 1 months ago.

black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai

5.6 match 1.4k stars 13.40 score 876 scripts 21 dependents

r-tmap

tmap:Thematic Maps

Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.

Maintained by Martijn Tennekes. Last updated 6 days ago.

choropleth-maps maps spatial thematic-maps visualisation

4.5 match 880 stars 16.73 score 13k scripts 24 dependents

dankelley

ocedata:Oceanographic Data Sets for 'oce' Package

Several Oceanographic data sets are provided for use by the 'oce' package, and for other purposes.

Maintained by Dan Kelley. Last updated 2 years ago.

14.2 match 8 stars 5.07 score 146 scripts

teal-insights

wbids:Seamless Access to World Bank International Debt Statistics (IDS)

Access and analyze the World Bank's International Debt Statistics (IDS) <https://datacatalog.worldbank.org/search/dataset/0038015>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.

Maintained by Teal Emery. Last updated 10 days ago.

11.6 match 7 stars 5.96 score 9 scripts

pachadotdev

economiccomplexity:Computational Methods for Economic Complexity

A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.

Maintained by Mauricio Vargas Sepulveda. Last updated 3 months ago.

economic-complexity eigenvalues eigenvectors graphs international-trade matrix networks recursive-algorithm openblas cpp openmp

10.8 match 39 stars 6.32 score 18 scripts

robinhankin

hyper2:The Hyperdirichlet Distribution, Mark 2

A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.

Maintained by Robin K. S. Hankin. Last updated 5 days ago.

cpp

11.3 match 5 stars 6.01 score 38 scripts 1 dependents

igraph

igraph:Network Analysis and Visualization

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

Maintained by Kirill Müller. Last updated 4 hours ago.

complex-networks graph-algorithms graph-theory mathematics network-analysis network-graph fortran libxml2 glpk openblas cpp

3.1 match 583 stars 21.10 score 31k scripts 1.9k dependents

rstudio

gt:Easily Create Presentation-Ready Display Tables

Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.

Maintained by Richard Iannone. Last updated 13 days ago.

docx easy-to-use html latex rtf summary-tables

3.6 match 2.1k stars 18.36 score 20k scripts 112 dependents

katilingban

paleta:Collection of Palettes, Themes, and Theme Components

A collection of palettes, themes, and theme components based on publicly available branding guidelines of various non-governmental organisations, government agencies, and United Nations units.

Maintained by Ernest Guevarra. Last updated 2 months ago.

14.6 match 2 stars 4.48 score 8 scripts

albgarre

biogrowth:Modelling of Population Growth

Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).

Maintained by Alberto Garre. Last updated 13 hours ago.

9.3 match 5 stars 6.82 score 44 scripts

danilofreire

prisonbrief:Downloads and Parses World Prison Brief Data

Download, parses and tidies information from the World Prison Brief project <http://www.prisonstudies.org/>.

Maintained by Danilo Freire. Last updated 4 years ago.

data prison world-prison-brief

15.4 match 18 stars 3.95 score 8 scripts

r-forge

Matrix:Sparse and Dense Matrix Classes and Methods

A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.

Maintained by Martin Maechler. Last updated 8 days ago.

openblas

3.4 match 1 stars 17.23 score 33k scripts 12k dependents

bodkan

slendr:A Simulation Framework for Spatiotemporal Population Genetics

A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the 'Python' module 'tskit' by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.

Maintained by Martin Petr. Last updated 14 days ago.

popgen population-genetics simulations spatial-statistics

6.3 match 56 stars 9.15 score 88 scripts

adeverse

ade4:Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.

Maintained by Aurélie Siberchicot. Last updated 14 days ago.

openblas cpp

3.8 match 39 stars 14.96 score 2.2k scripts 256 dependents

andrewzm

FRK:Fixed Rank Kriging

A tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of basis functions. This fixed-rank basis-function representation facilitates the modelling of big data, and the method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above also supports the modelling of non-Gaussian data (e.g., Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian) by employing a generalised linear mixed model (GLMM) framework. Zammit-Mangion and Cressie <doi:10.18637/jss.v098.i04> describe `FRK` in a Gaussian setting, and detail its use of basis functions and BAUs, while Sainsbury-Dale, Zammit-Mangion, and Cressie <doi:10.18637/jss.v108.i10> describe `FRK` in a non-Gaussian setting; two vignettes are available that summarise these papers and provide additional examples.

Maintained by Andrew Zammit-Mangion. Last updated 6 months ago.

cpp

6.3 match 71 stars 8.70 score 188 scripts 1 dependents

finnishcancerregistry

popEpi:Functions for Epidemiological Analysis using Population Data

Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.

Maintained by Joonas Miettinen. Last updated 2 months ago.

adjust-estimates age-adjusting direct-adjusting epidemiology indirect-adjusting survival

6.8 match 8 stars 8.05 score 117 scripts 1 dependents

alexpghayes

distributions3:Probability Distributions as S3 Objects

Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.

Maintained by Alex Hayes. Last updated 6 months ago.

4.6 match 102 stars 11.35 score 118 scripts 7 dependents

kenaho1

asbio:A Collection of Statistical Tools for Biologists

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Maintained by Ken Aho. Last updated 2 months ago.

7.1 match 5 stars 7.32 score 310 scripts 3 dependents

cdalzell

Lahman:Sean 'Lahman' Baseball Database

Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2023, as recorded in the 2024 version of the database. Documentation examples show how many baseball questions can be investigated.

Maintained by Chris Dalzell. Last updated 4 months ago.

4.3 match 79 stars 11.98 score 1.7k scripts 2 dependents

sdctools

sdcMicro:Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.

Maintained by Matthias Templ. Last updated 28 days ago.

cpp

5.1 match 83 stars 9.89 score 258 scripts

dreamrs

vchartr:Interactive Charts with the 'JavaScript' 'VChart' Library

Provides an 'htmlwidgets' interface to 'VChart.js'. 'VChart', more than just a cross-platform charting library, but also an expressive data storyteller. 'VChart' examples and documentation are available here: <https://www.visactor.io/vchart>.

Maintained by Victor Perrier. Last updated 2 months ago.

7.4 match 9 stars 6.89 score 96 scripts

jbkunst

highcharter:A Wrapper for the 'Highcharts' Library

A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <https://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.

Maintained by Joshua Kunst. Last updated 1 years ago.

highcharts htmlwidgets shiny shiny-r visualization wrapper

3.6 match 725 stars 13.93 score 4.9k scripts 18 dependents

dankelley

oce:Analysis of Oceanographic Data

Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.

Maintained by Dan Kelley. Last updated 3 days ago.

oceanography fortran cpp

3.3 match 146 stars 15.42 score 4.2k scripts 18 dependents

r-forge

carData:Companion to Applied Regression Data Sets

Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage (2019).

Maintained by John Fox. Last updated 5 months ago.

4.0 match 12.41 score 944 scripts 919 dependents

joelkilty

MMAC:Data for Mathematical Modeling and Applied Calculus

Contains the data sets for the textbook "Mathematical Modeling and Applied Calculus" by Joel Kilty and Alex M. McAllister. The book will be published by Oxford University Press in 2018 with ISBN-13: 978-019882472.

Maintained by Joel Kilty. Last updated 7 years ago.

19.8 match 2.50 score 63 scripts

mappinguniverse

mapping:Automatic Download, Linking, Manipulating Coordinates for Maps

Maps are an important tool to visualise variables distribution across different spatial objects. The mapping process requires to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of external functions. The package provides an easy, flexible and automatic unit. Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions. Provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.

Maintained by Alessio Serafini. Last updated 1 years ago.

10.3 match 4 stars 4.79 score 31 scripts

canmod

macpan2:Fast and Flexible Compartmental Modelling

Fast and flexible compartmental modelling with Template Model Builder.

Maintained by Steve Walker. Last updated 13 hours ago.

compartmental-models epidemiology forecasting mixed-effects model-fitting optimization simulation simulation-modeling cpp

5.5 match 4 stars 8.90 score 246 scripts 1 dependents

projectmosaic

mosaic:Project MOSAIC Statistics and Mathematics Teaching Utilities

Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.

Maintained by Randall Pruim. Last updated 1 years ago.

3.6 match 93 stars 13.32 score 7.2k scripts 7 dependents

modeloriented

modelStudio:Interactive Studio for Explanatory Model Analysis

Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model-agnostic, therefore compatible with most of the black-box predictive models and frameworks. The main function computes various (instance and model-level) explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. It is possible to easily save the dashboard and share it with others. 'modelStudio' facilitates the process of Interactive Explanatory Model Analysis introduced in Baniecki et al. (2023) <doi:10.1007/s10618-023-00924-w>.

Maintained by Hubert Baniecki. Last updated 2 years ago.

ai explainable explainable-ai explainable-machine-learning explanatory-model-analysis human iml interactive interactivity interpretability interpretable interpretable-machine-learning learning machine model model-visualization visualization xai

6.0 match 330 stars 7.92 score 56 scripts

nenuial

geographer:Geography Vizualisations

Provides function and objects to establish vizualisations for my Geography lessons.

Maintained by Pascal Burkhard. Last updated 24 days ago.

16.9 match 1 stars 2.78 score

pbastide

PhylogeneticEM:Automatic Shift Detection using a Phylogenetic EM

Implementation of the automatic shift detection method for Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on phylogenies. Some tools to handle equivalent shifts configurations are also available. See Bastide et al. (2017) <doi:10.1111/rssb.12206> and Bastide et al. (2018) <doi:10.1093/sysbio/syy005>.

Maintained by Paul Bastide. Last updated 1 months ago.

openblas cpp

6.8 match 16 stars 6.96 score 47 scripts

pik-piam

luplot:Landuse Plot Library

Some useful functions to plot data such as a map plot function for MAgPIE objects.

Maintained by Benjamin Bodirsky. Last updated 2 months ago.

7.6 match 6.16 score 124 scripts 11 dependents

bbuchsbaum

neuroim:Data Structures and Handling for Neuroimaging Data

A collection of data structures that represent volumetric brain imaging data. The focus is on basic data handling for 3D and 4D neuroimaging data. In addition, there are function to read and write NIFTI files and limited support for reading AFNI files.

Maintained by Bradley Buchsbaum. Last updated 4 years ago.

cpp

8.3 match 6 stars 5.64 score 48 scripts

wch

gcookbook:Data for "R Graphics Cookbook"

Data sets used in the book "R Graphics Cookbook" by Winston Chang, published by O'Reilly Media.

Maintained by Winston Chang. Last updated 6 years ago.

6.7 match 10 stars 6.77 score 1.3k scripts 1 dependents

tyee001

VGAMdata:Data Supporting the 'VGAM' Package

Mainly data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology). This package now contains some old VGAM family functions which have been replaced by newer ones (often because they are now special cases).

Maintained by Thomas Yee. Last updated 1 months ago.

15.3 match 1 stars 2.94 score 95 scripts 1 dependents

mazamascience

MazamaSpatialUtils:Spatial Data Download and Utility Functions

A suite of conversion functions to create internally standardized spatial polygons data frames. Utility functions use these data sets to return values such as country, state, time zone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)

Maintained by Jonathan Callahan. Last updated 5 months ago.

5.5 match 5 stars 8.09 score 282 scripts 2 dependents

matutosi

clidatajp:Data from Japan Meteorological Agency

Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>. Can download climate data from 'JMA'.

Maintained by Toshikazu Matsumura. Last updated 2 years ago.

11.9 match 3.70 score 4 scripts

ycroissant

plm:Linear Models for Panel Data

A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>).

Maintained by Kevin Tappe. Last updated 2 days ago.

3.6 match 59 stars 12.06 score 39 dependents

hypertidy

anglr:Mesh Topology and Visualization for Spatial Data

Gives direct access to generic 3D tools and provides a full suite of mesh-creation and 3D plotting functions. By extending the 'rgl' package conversion and visualization functions for the 'mesh3d' class a wide variety of complex spatial data can be brought into 3D scenes. These tools allow for spatial raster, polygons, and lines that are common in 'GIS' contexts to be converted into mesh forms with high flexibility and the ability to integrate disparate data types. Vector and raster data can be seamlessly combined as meshes, and surfaces can be set to have material properties based on data values or with image textures. Textures and other data combinations use projection transformations to map between coordinate systems, and objects can be easily visualized in an interactive scene at any stage. This package relies on the 'RTriangle' package for high-quality triangular meshing which is licensed restrictively under 'CC BY-NC-SA 4.0'.

Maintained by Michael D. Sumner. Last updated 2 years ago.

8.5 match 83 stars 5.09 score 99 scripts

ropensci

lingtypology:Linguistic Typology and Mapping

Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.

Maintained by George Moroz. Last updated 5 months ago.

abvd afbo atlas autotype bivaltyp clld glottolog-database linguistic-maps linguistics phoible sails typology wals

4.5 match 51 stars 9.58 score 694 scripts

wilkox

treemapify:Draw Treemaps in 'ggplot2'

Provides 'ggplot2' geoms for drawing treemaps.

Maintained by David Wilkins. Last updated 9 months ago.

data-visualisation ggplot2 treemap

3.4 match 215 stars 12.58 score 1.6k scripts 9 dependents

matildabrown

rWCVP:Generating Summaries, Reports and Plots from the World Checklist of Vascular Plants

A companion to the World Checklist of Vascular Plants (WCVP). It includes functions to generate maps and species lists, as well as match names to the WCVP. For more details and to cite the package, see: Brown M.J.M., Walker B.E., Black N., Govaerts R., Ondo I., Turner R., Nic Lughadha E. (in press). "rWCVP: A companion R package to the World Checklist of Vascular Plants". New Phytologist.

Maintained by Matilda Brown. Last updated 1 years ago.

6.9 match 22 stars 6.17 score 45 scripts 1 dependents

sachaepskamp

qgraph:Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Fork of qgraph - Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.

Maintained by Sacha Epskamp. Last updated 1 years ago.

cpp

3.7 match 69 stars 11.43 score 1.2k scripts 63 dependents

mthrun

DataVisualizations:Visualizations of High-Dimensional Data

Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

Maintained by Michael Thrun. Last updated 2 months ago.

cpp

5.4 match 7 stars 7.72 score 118 scripts 7 dependents

tidy-intelligence

owidapi:Access the Our World in Data Chart API

Retrieve data from the Our World in Data (OWID) Chart API <https://docs.owid.io/projects/etl/api/>. OWID provides public access to more than 5,000 charts focusing on global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality.

Maintained by Christoph Scheuch. Last updated 14 days ago.

economic-data

10.9 match 6 stars 3.78 score

dmurdoch

plotrix:Various Plotting Functions

Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.

Maintained by Duncan Murdoch. Last updated 1 years ago.

3.6 match 5 stars 11.31 score 9.2k scripts 361 dependents

piersyork

owidR:Import Data from Our World in Data

Import data from 'Our World in Data', an organisation which publishes research and data on global economic and social issues.

Maintained by Piers York. Last updated 1 years ago.

data data-visualisation economics

7.3 match 117 stars 5.49 score 53 scripts

colearendt

tidyjson:Tidy Complex 'JSON'

Turn complex 'JSON' data into tidy data frames.

Maintained by Cole Arendt. Last updated 2 years ago.

3.8 match 192 stars 10.64 score 522 scripts 7 dependents

bioc

PRONE:The PROteomics Normalization Evaluator

High-throughput omics data are often affected by systematic biases introduced throughout all the steps of a clinical study, from sample collection to quantification. Normalization methods aim to adjust for these biases to make the actual biological signal more prominent. However, selecting an appropriate normalization method is challenging due to the wide range of available approaches. Therefore, a comparative evaluation of unnormalized and normalized data is essential in identifying an appropriate normalization strategy for a specific data set. This R package provides different functions for preprocessing, normalizing, and evaluating different normalization approaches. Furthermore, normalization methods can be evaluated on downstream steps, such as differential expression analysis and statistical enrichment analysis. Spike-in data sets with known ground truth and real-world data sets of biological experiments acquired by either tandem mass tag (TMT) or label-free quantification (LFQ) can be analyzed.

Maintained by Lis Arend. Last updated 18 days ago.

proteomics preprocessing normalization differentialexpression visualization data-analysis evaluation

9.0 match 2 stars 4.38 score 9 scripts

ropensci

karel:Learning programming with Karel the robot

This is the R implementation of Karel the robot, a programming language created by Dr. R. E. Pattis at Stanford University in 1981. Karel is an useful tool to teach introductory concepts about general programming, such as algorithmic decomposition, conditional statements, loops, etc., in an interactive and fun way, by writing programs to make Karel the robot achieve certain tasks in the world she lives in. Originally based on Pascal, Karel was implemented in many languages through these decades, including 'Java', 'C++', 'Ruby' and 'Python'. This is the first package implementing Karel in R.

Maintained by Marcos Prunello. Last updated 8 months ago.

learning programming r-language

5.6 match 10 stars 6.87 score 31 scripts

r-spatial

link2GI:Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools

Functions and tools for using open GIS and remote sensing command-line interfaces in a reproducible environment.

Maintained by Chris Reudenbach. Last updated 4 months ago.

4.3 match 26 stars 9.05 score 78 scripts 1 dependents

coolbutuseless

tickle:Easily Build Tcl/Tk UIs

Wrap tcltk to make GUI creation easier.

Maintained by mikefc. Last updated 3 years ago.

6.5 match 125 stars 5.88 score 11 scripts

appsilon

shiny.semantic:Semantic UI Support for Shiny

Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Fomantic UI - <https://fomantic-ui.com/> (before Semantic). It also supports universal UI input binding that works with various DOM elements.

Maintained by Jakub Nowicki. Last updated 11 months ago.

appsilon fomantic-ui rhinoverse semantic semantic-components semantic-ui shiny

2.8 match 506 stars 13.00 score 586 scripts 3 dependents

tarnduong

ks:Kernel Smoothing

Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Maintained by Tarn Duong. Last updated 6 months ago.

3.6 match 6 stars 10.14 score 920 scripts 262 dependents

r-forge

fuzzySim:Fuzzy Similarity in Species Distributions

Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041-210X.12372>.

Maintained by A. Marcia Barbosa. Last updated 22 days ago.

6.8 match 2 stars 5.35 score 156 scripts

bluefoxr

COINr:Composite Indicator Construction and Analysis

A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.

Maintained by William Becker. Last updated 2 months ago.

4.0 match 26 stars 9.07 score 73 scripts 1 dependents

thiyangt

denguedatahub:A Tidy Format Datasets of Dengue by Country

Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.

Maintained by Thiyanga S. Talagala. Last updated 1 months ago.

openjdk

7.0 match 11 stars 5.12 score 34 scripts

animint

animint2:Animated Interactive Grammar of Graphics

Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.

Maintained by Toby Hocking. Last updated 29 days ago.

4.0 match 64 stars 8.87 score 173 scripts

rspatial

geodata:Download Geographic Data

Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.

Maintained by Robert J. Hijmans. Last updated 1 months ago.

3.3 match 162 stars 10.75 score 1.5k scripts 7 dependents

adrian-bowman

rpanel:Simple Interactive Controls for R using the 'tcltk' Package

A set of functions to build simple GUI controls for R functions. These are built on the 'tcltk' package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as 'cartoons', are provided.

Maintained by Adrian Bowman. Last updated 2 years ago.

8.2 match 1 stars 4.30 score 157 scripts 9 dependents

njtierney

brolgar:Browse Over Longitudinal Data Graphically and Analytically in R

Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.

Maintained by Nicholas Tierney. Last updated 2 months ago.

4.0 match 109 stars 8.73 score 141 scripts

hknd23

DeepLearningCausal:Causal Inference with Super Learner and Deep Neural Networks

Functions to estimate Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT) from experimental or observational data using the Super Learner (SL) ensemble method and Deep neural networks. The package first provides functions to implement meta-learners such as the Single-learner (S-learner) and Two-learner (T-learner) described in Künzel et al. (2019) <doi:10.1073/pnas.1804597116> for estimating the CATE. The S- and T-learner are each estimated using the SL ensemble method and deep neural networks. It then provides functions to implement the Ottoboni and Poulos (2020) <doi:10.1515/jci-2018-0035> PATT-C estimator to obtain the PATT from experimental data with noncompliance by using the SL ensemble method and deep neural networks.

Maintained by Nguyen K. Huynh. Last updated 2 months ago.

causal-inference deep-neural-networks machine-learning

7.2 match 2 stars 4.76 score 5 scripts

julianfaraway

faraway:Datasets and Functions for Books by Julian Faraway

Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014, 3rd Ed. February 2025 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).

Maintained by Julian Faraway. Last updated 1 months ago.

data

3.6 match 29 stars 9.43 score 1.7k scripts 1 dependents

ropensci

worrms:World Register of Marine Species (WoRMS) Client

Client for World Register of Marine Species (<https://www.marinespecies.org/>). Includes functions for each of the API methods, including searching for names by name, date and common names, searching using external identifiers, fetching synonyms, as well as fetching taxonomic children and taxonomic classification.

Maintained by Bart Vanhoorne.. Last updated 1 years ago.

biology science marine api web api-client worms species api-wrapper biological-data fish jerico-relevant marine-biology marine-species taxize taxonomy

3.4 match 27 stars 9.79 score 372 scripts 23 dependents

r-arcgis

arcgisgeocode:A Robust Interface to ArcGIS 'Geocoding Services'

A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.

Maintained by Josiah Parry. Last updated 2 months ago.

rust cargo

4.9 match 41 stars 6.82 score 20 scripts 1 dependents

femiguez

apsimx:Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic

The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).

Maintained by Fernando Miguez. Last updated 4 days ago.

apsim apsimx

3.4 match 59 stars 9.71 score 68 scripts 2 dependents

ropensci

refsplitr:author name disambiguation, author georeferencing, and mapping of coauthorship networks with 'Web of Science' data

Tools to parse and organize reference records downloaded from the 'Web of Science' citation database into an R-friendly format, disambiguate the names of authors, geocode their locations, and generate/visualize coauthorship networks. This package has been peer-reviewed by rOpenSci (v. 1.0).

Maintained by Emilio Bruna. Last updated 7 months ago.

name disambiguation bibliometrics coauthorship collaboration georeferencing metascience references scientometrics science of science web of science

5.8 match 55 stars 5.64 score 16 scripts

cwatson

brainGraph:Graph Theory Analysis of Brain MRI Data

A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.

Maintained by Christopher G. Watson. Last updated 1 years ago.

brain-connectivity brain-imaging complex-networks connectome connectomics fmri graph-theory mri network-analysis neuroimaging neuroscience statistics tractography

4.1 match 188 stars 7.86 score 107 scripts 3 dependents

roelandkindt

WorldFlora:Standardize Plant Names According to World Flora Online Taxonomic Backbone

World Flora Online is an online flora of all known plants, available from <https://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.

Maintained by Roeland Kindt. Last updated 6 months ago.

10.4 match 3 stars 3.09 score 33 scripts 1 dependents

reedacartwright

rbedrock:Analysis and Manipulation of Data from Minecraft Bedrock Edition

Implements an interface to Minecraft (Bedrock Edition) worlds. Supports the analysis and management of these worlds and game saves.

Maintained by Reed Cartwright. Last updated 19 days ago.

zlib cpp

6.1 match 43 stars 5.24 score 3 scripts

trinker

wakefield:Generate Random Data Sets

Generates random data sets including: data.frames, lists, and vectors.

Maintained by Tyler Rinker. Last updated 5 years ago.

data-generation wakefield

4.5 match 256 stars 7.13 score 209 scripts

karlines

plot3D:Plotting Multi-Dimensional Data

Functions for viewing 2-D and 3-D data, including perspective plots, slice plots, surface plots, scatter plots, etc. Includes data sets from oceanography.

Maintained by Karline Soetaert. Last updated 1 years ago.

3.3 match 3 stars 9.59 score 2.1k scripts 78 dependents

paulrougieux

FAOSTAT:Download Data from the FAOSTAT Database

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.

Maintained by Paul Rougieux. Last updated 7 months ago.

6.0 match 5.30 score 132 scripts

pokotylo

ddalpha:Depth-Based Classification and Calculation of Data Depth

Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).

Maintained by Oleksii Pokotylo. Last updated 6 months ago.

fortran cpp

7.0 match 2 stars 4.45 score 211 scripts 7 dependents

statswithr

statsr:Companion Software for the Coursera Statistics with R Specialization

Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.

Maintained by Merlise Clyde. Last updated 4 years ago.

bayesian-inference coursera statistics

4.0 match 71 stars 7.80 score 880 scripts

trackage

trip:Tracking Data

Access and manipulate spatial tracking data, with straightforward coercion from and to other formats. Filter for speed and create time spent maps from tracking data. There are coercion methods to convert between 'trip' and 'ltraj' from 'adehabitatLT', and between 'trip' and 'psp' and 'ppp' from 'spatstat'. Trip objects can be created from raw or grouped data frames, and from types in the 'sp', sf', 'amt', 'trackeR', 'mousetrap', and other packages, Sumner, MD (2011) <https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538>.

Maintained by Michael D. Sumner. Last updated 9 months ago.

4.0 match 13 stars 7.72 score 137 scripts 1 dependents

frbcesab

geoparser:Detect Country Names in Documents

Detects country names in PDF documents imported with the package 'pdftools'.

Maintained by Nicolas Casajus. Last updated 2 years ago.

text-mining world-countries

11.3 match 2.70 score 4 scripts

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

3.3 match 7 stars 9.11 score 1.3k scripts 6 dependents

projectmosaic

mosaicData:Project MOSAIC Data Sets

Data sets from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.

Maintained by Randall Pruim. Last updated 1 years ago.

3.6 match 6 stars 8.33 score 632 scripts 8 dependents

geomarker-io

addr:Clean, Parse, Harmonize, Match, and Geocode Messy Real-World Addresses

Addresses that were not validated at the time of collection are often heterogenously formatted, making them difficult to compare or link to other sets of addresses. The addr package is designed to clean character strings of addresses, use the `usaddress` library to tag address components, and paste together select components to create a normalized address. Normalized addresses can be hashed to create hashdresses that can be used to merge with other sets of addresses.

Maintained by Cole Brokamp. Last updated 5 months ago.

rust cargo

6.4 match 2 stars 4.70 score 388 scripts

hypertidy

affinity:Raster Georeferencing, Grid Affine Transforms, Cell Abstraction

Tools for raster georeferencing, grid affine transforms, and general raster logic. These functions provide converters between raster specifications, world vector, geotransform, 'RasterIO' window, and 'RasterIO window' in 'sf' package list format. There are functions to offset a matrix by padding any of four corners (useful for vectorizing neighbourhood operations), and helper functions to harvesting user clicks on a graphics device to use for simple georeferencing of images. Methods used are available from <https://en.wikipedia.org/wiki/World_file> and <https://gdal.org/user/raster_data_model.html>.

Maintained by Michael D. Sumner. Last updated 4 years ago.

6.1 match 14 stars 4.85 score 7 scripts

hsbadr

HiClimR:Hierarchical Climate Regionalization

A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.

Maintained by Hamada S. Badr. Last updated 2 months ago.

clustering contiguity homogeneity multivariate regionalization spatiotemporal fortran

3.6 match 16 stars 8.06 score 53 scripts 3 dependents

frbcesab

forcis:An R Client to Access the FORCIS Database

Provides an interface to the FORCIS database (<https://zenodo.org/doi/10.5281/zenodo.7390791>) on global foraminifera distribution. This package allows to download and to handle FORCIS data. It is part of the FRB-CESAB working group FORCIS. <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/forcis/>.

Maintained by Nicolas Casajus. Last updated 13 days ago.

5.0 match 4 stars 5.76 score 5 scripts

jaseziv

worldfootballR:Extract and Clean World Football (Soccer) Data

Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.

Maintained by Jason Zivkovic. Last updated 1 months ago.

fbref football football-data soccer-data sports-data transfermarkt understat

2.9 match 506 stars 9.89 score 516 scripts 2 dependents

safetygraphics

safetyGraphics:Interactive Graphics for Monitoring Clinical Trial Safety

A framework for evaluation of clinical trial safety. Users can interactively explore their data using the included 'Shiny' application.

Maintained by Jeremy Wildfire. Last updated 2 years ago.

3.5 match 98 stars 8.18 score 111 scripts

viralemergence

insectDisease:Ecological Database of the World's Insect Pathogens

David Onstad provided us with this insect disease database, sometimes referred to as the 'Ecological Database of the Worlds Insect Pathogens' or EDWIP. Files have been converted from 'SQL' to csv, and ported into 'R' for easy exploration and analysis. Thanks to the Macroecology of Infectious Disease Research Coordination Network (RCN) for funding and support. Data are also served online in a static format at <https://edwip.ecology.uga.edu/>.

Maintained by Tad Dallas. Last updated 2 months ago.

6.4 match 13 stars 4.41 score 2 scripts

pik-piam

mrdrivers:Create GDP and Population Scenarios

Create GDP and population scenarios This package constructs the GDP and population scenarios used as drivers in both the REMIND and MAgPIE models.

Maintained by Johannes Koch. Last updated 26 days ago.

4.4 match 6.38 score 5 scripts 19 dependents

datascinet

ussherR:Ussher Data Set Drawn from 1658 Chronology

The "ussher" data set is drawn from original chronological textual historic events. Commonly known as James Ussher's Annals of the World, the source text was originally written in Latin in 1650, and published in English translation in 1658.The data are classified by index, year, epoch (or one of the 7 ancient "Ages of the World"), Biblical source book if referenced (rarely), as well as alternate dating mechanisms, such as "Anno Mundi" (age of the world) or "Julian Period" (dates based upon the Julian calendar). Additional file "usshfull" includes variables that may be of further interest to historians, such as Southern Kingdom and Northern Kingdom discrepant dates, and the original amalgamated dating mechanic used by Ussher in the original text. The raw data can also be called using "usshraw", as described in: Ussher, J. (1658) <https://archive.org/stream/AnnalsOfTheWorld/Annals_djvu.txt>.

Maintained by Daniel Eness. Last updated 2 years ago.

10.5 match 2.70 score

alexchristensen

NetworkToolbox:Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), community-level network characteristics (e.g., community centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.

Maintained by Alexander Christensen. Last updated 2 years ago.

network-analysis

3.9 match 23 stars 6.99 score 101 scripts 4 dependents

zhaokg

Rbeast:Bayesian Change-Point Detection and Time Series Decomposition

Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019) <doi:10.1016/j.rse.2019.04.034>.

Maintained by Kaiguang Zhao. Last updated 6 months ago.

anomoly-detection bayesian-time-series breakpoint-detection changepoint-detection interrupted-time-series seasonality-analysis structural-breakpoint technical-analysis time-series time-series-decomposition trend trend-analysis

3.5 match 302 stars 7.63 score 89 scripts

sanfordweisberg

alr4:Data to Accompany Applied Linear Regression 4th Edition

Datasets to Accompany S. Weisberg (2014, ISBN: 978-1-118-38608-8), "Applied Linear Regression," 4th edition. Many data files in this package are included in the `alr3` package as well, so only one of them should be used.

Maintained by Sanford Weisberg. Last updated 7 years ago.

7.8 match 1 stars 3.45 score 306 scripts

rich-iannone

DiagrammeR:Graph/Network Visualization

Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges.

Maintained by Richard Iannone. Last updated 2 months ago.

graph graph-functions network-graph property-graph visualization

1.8 match 1.7k stars 15.18 score 3.8k scripts 87 dependents

joachim-gassen

ExPanDaR:Explore Your Data Interactively

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.

Maintained by Joachim Gassen. Last updated 4 years ago.

accounting eda exploratory-data-analysis finance open-science replication shiny shiny-apps

3.3 match 156 stars 7.80 score 203 scripts

trevorhastie

ISLR:Data for an Introduction to Statistical Learning with Applications in R

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R'.

Maintained by Trevor Hastie. Last updated 4 years ago.

3.4 match 4 stars 7.58 score 10k scripts 2 dependents

cysouw

qlcMatrix:Utility Sparse Matrix Functions for Quantitative Language Comparison

Extension of the functionality of the 'Matrix' package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.

Maintained by Michael Cysouw. Last updated 9 months ago.

3.6 match 6 stars 6.98 score 256 scripts 1 dependents

datastorm-open

rAmCharts:JavaScript Charts Tool

Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <https://datastorm-open.github.io/introduction_ramcharts/> and <https://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <https://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <https://www.amcharts.com/about/> for more information about 'AmCharts' company.

Maintained by Benoit Thieurmel. Last updated 2 months ago.

3.5 match 49 stars 7.17 score 153 scripts 4 dependents

langendorfr

netcom:NETwork COMparison Inference

Infer system functioning with empirical NETwork COMparisons. These methods are part of a growing paradigm in network science that uses relative comparisons of networks to infer mechanistic classifications and predict systemic interventions. They have been developed and applied in Langendorf and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020) <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019) <arXiv:1912.12551>.

Maintained by Ryan Langendorf. Last updated 8 months ago.

5.6 match 5 stars 4.46 score 115 scripts

b-rodrigues

chronicler:Add Logging To Functions

Decorate functions to make them return enhanced output. The enhanced output consists in an object of type 'chronicle' containing the result of the function applied to its arguments, as well as a log detailing when the function was run, what were its inputs, what were the errors (if the function failed to run) and other useful information. Tools to handle decorated functions are included, such as a forward pipe operator that makes chaining decorated functions possible.

Maintained by Bruno Rodrigues. Last updated 11 months ago.

3.3 match 51 stars 7.51 score 35 scripts

nutriverse

zscorer:Child Anthropometry z-Score Calculator

A tool for calculating z-scores and centiles for weight-for-age, length/height-for-age, weight-for-length/height, BMI-for-age, head circumference-for-age, age circumference-for-age, subscapular skinfold-for-age, triceps skinfold-for-age based on the WHO Child Growth Standards.

Maintained by Ernest Guevarra. Last updated 4 years ago.

anthropometric-indices anthropometry growth-charts growth-standards height-for-age nutrition weight-for-age weight-for-height z-score

3.4 match 14 stars 7.30 score 47 scripts 1 dependents

tobiste

tectonicr:Analyzing the Orientation of Maximum Horizontal Stress

Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.

Maintained by Tobias Stephan. Last updated 15 days ago.

geology structural-geology tectonics

3.4 match 7 stars 7.26 score 33 scripts

arilamstein

choroplethrAdmin1:Contains an Administrative-Level-1 Map of the World

Contains an administrative-level-1 map of the world. Administrative-level-1 is the generic term for the largest sub-national subdivision of a country. This package was created for use with the choroplethr package.

Maintained by Ari Lamstein. Last updated 7 years ago.

6.9 match 3.60 score 40 scripts

joon-e

tidycomm:Data Modification and Analysis for Communication Research

Provides convenience functions for common data modification and analysis tasks in communication research. This includes functions for univariate and bivariate data analysis, index generation and reliability computation, and intercoder reliability tests. All functions follow the style and syntax of the tidyverse, and are construed to perform their computations on multiple variables at once. Functions for univariate and bivariate data analysis comprise summary statistics for continuous and categorical variables, as well as several tests of bivariate association including effect sizes. Functions for data modification comprise index generation and automated reliability analysis of index variables. Functions for intercoder reliability comprise tests of several intercoder reliability estimates, including simple and mean pairwise percent agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN: 9780761915454), and various Kappa coefficients (Brennan & Prediger 1981 <doi: 10.1177/001316448104100307>; Cohen 1960 <doi: 10.1177/001316446002000104>; Fleiss 1971 <doi: 10.1037/h0031619>).

Maintained by Julian Unkel. Last updated 11 months ago.

3.8 match 15 stars 6.59 score 52 scripts

jonathanlees

GEOmap:Topographic and Geologic Mapping

Set of routines for making map projections (forward and inverse), topographic maps, perspective plots, geological maps, geological map symbols, geological databases, interactive plotting and selection of focus regions.

Maintained by Jonathan M. Lees. Last updated 8 months ago.

7.2 match 3.38 score 162 scripts 3 dependents

bcastanho

SCtools:Extensions for Synthetic Controls Analysis

Extends the functionality of the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi:10.18637/jss.v042.i13>. Includes generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots, and calculating average treatment effects for multiple treated units.

Maintained by Bruno Castanho Silva. Last updated 11 months ago.

3.6 match 13 stars 6.74 score 105 scripts

arilamstein

choroplethrMaps:Contains Maps Used by the 'choroplethr' Package

Contains 3 maps. 1) US States 2) US Counties 3) Countries of the world.

Maintained by Ari Lamstein. Last updated 7 years ago.

5.0 match 4.80 score 418 scripts 1 dependents

dusadrian

QCA:Qualitative Comparative Analysis

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.

Maintained by Adrian Dusa. Last updated 1 months ago.

3.5 match 2 stars 6.78 score 110 scripts 4 dependents

vincentporretta

VWPre:Tools for Preprocessing Visual World Data

Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.

Maintained by Vincent Porretta. Last updated 4 years ago.

5.5 match 4.28 score 80 scripts 1 dependents

riatelab

cartography:Thematic Cartography

Create and integrate maps in your R workflow. This package helps to design cartographic representations such as proportional symbols, choropleth, typology, flows or discontinuities maps. It also offers several features that improve the graphic presentation of maps, for instance, map palettes, layout elements (scale, north arrow, title...), labels or legends. See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.

Maintained by Timothée Giraud. Last updated 2 years ago.

cartography map thematic-maps cpp

2.3 match 399 stars 10.47 score 460 scripts 2 dependents

fbellelli

countries:Deal with Country Data in an Easy Way

Wrangle country data more effectively and quickly. This package contains functions to easily identify and convert country names, download country information, merge country data from different sources, and make quick world maps.

Maintained by Francesco Saverio Bellelli. Last updated 24 days ago.

4.5 match 3 stars 5.15 score 47 scripts

thothorn

HSAUR3:A Handbook of Statistical Analyses Using R (3rd Edition)

Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.

Maintained by Torsten Hothorn. Last updated 7 months ago.

3.4 match 6 stars 6.72 score 120 scripts 2 dependents

rich-iannone

stationaRy:Detailed Meteorological Data from Stations All Over the World

Acquire hourly meteorological data from stations located all over the world. There is a wealth of data available, with historic weather data accessible from nearly 30,000 stations. The available data is automatically downloaded from a data repository and processed into a 'tibble' for the exact range of years requested. A relative humidity approximation is provided using the 'August-Roche-Magnus' formula, which was adapted from Alduchov and Eskridge (1996) <doi:10.1175%2F1520-0450%281996%29035%3C0601%3AIMFAOS%3E2.0.CO%3B2>.

Maintained by Richard Iannone. Last updated 5 years ago.

dataset global met-data

3.5 match 250 stars 6.44 score 74 scripts

andysouth

rworldxtra:Country boundaries at high resolution.

High resolution vector country boundaries derived from Natural Earth data, can be plotted in rworldmap.

Maintained by Andy South. Last updated 10 years ago.

3.3 match 4 stars 6.75 score 338 scripts 4 dependents

courtiol

IsoriX:Isoscape Computation and Inference of Spatial Origins using Mixed Models

Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.

Maintained by Alexandre Courtiol. Last updated 6 months ago.

4.0 match 14 stars 5.59 score 56 scripts

bioc

BioQC:Detect tissue heterogeneity in expression profiles with gene sets

BioQC performs quality control of high-throughput expression data based on tissue gene signatures. It can detect tissue heterogeneity in gene expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is optimised for high performance.

Maintained by Jitao David Zhang. Last updated 5 months ago.

geneexpression qualitycontrol statisticalmethod genesetenrichment cpp

2.7 match 5 stars 8.16 score 86 scripts

middleton-lab

abd:The Analysis of Biological Data

The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).

Maintained by Kevin M. Middleton. Last updated 11 months ago.

4.0 match 6 stars 5.53 score 182 scripts 1 dependents

swfsc

eSDM:Ensemble Tool for Predictions from Species Distribution Models

A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.

Maintained by Sam Woodman. Last updated 5 months ago.

3.6 match 11 stars 6.07 score 24 scripts

reconverse

outbreaks:A Collection of Disease Outbreak Data

Empirical or simulated disease outbreak data, provided either as RData or as text files.

Maintained by Finlay Campbell. Last updated 2 years ago.

3.3 match 51 stars 6.70 score 282 scripts

dtkaplan

LSTbook:Data and Software for "Lessons in Statistical Thinking"

"Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.

Maintained by Daniel Kaplan. Last updated 3 days ago.

3.4 match 4 stars 6.29 score 27 scripts

larmarange

prevR:Estimating Regional Trends of a Prevalence from a DHS and Similar Surveys

Spatial estimation of a prevalence surface or a relative risks surface, using data from a Demographic and Health Survey (DHS) or an analog survey, see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.

Maintained by Joseph Larmarange. Last updated 6 months ago.

3.4 match 5 stars 6.26 score 46 scripts

martinschobben

oceanexplorer:Explore Our Planet's Oceans with NOAA

Provides tools for easy exploration of the world ocean atlas of the US agency National Oceanic and Atmospheric Administration (NOAA). It includes functions to extract NetCDF data from the repository and code to visualize several physical and chemical parameters of the ocean. A Shiny app further allows interactive exploration of the data. The methods for data collecting and quality checks are described in several papers, which can be found here: <https://www.ncei.noaa.gov/products/world-ocean-atlas>.

Maintained by Martin Schobben. Last updated 1 years ago.

earth earth-observation earth-science noaa noaa-data ocean ocean-sciences oceanography open-data shiny spatial spatial-analysis spatial-data

4.3 match 9 stars 5.01 score 23 scripts

jimjam-slam

ggflags:Plot flags of the world in ggplot2

A ggplot2 extension that allows you to plot the flags of the world. It functions essentially as geom_point does, requiring, at minimum, a two-letter lowercase country code for the country aesthetic, and x and y aesthetics. You can also adjust the size.

Maintained by Baptiste Auguie. Last updated 1 years ago.

dataviz flags ggplot2 ggplot2-enhancements

3.6 match 95 stars 5.84 score 364 scripts

carloscinelli

benford.analysis:Benford Analysis for Data Validation and Forensic Analytics

Provides tools that make it easier to validate data using Benford's Law.

Maintained by Carlos Cinelli. Last updated 6 years ago.

3.8 match 62 stars 5.66 score 74 scripts

riatelab

mapsf:Thematic Cartography

Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.

Maintained by Timothée Giraud. Last updated 6 days ago.

cartography map spatial spatial-analysis

1.9 match 228 stars 11.28 score 414 scripts 11 dependents

haydarde

dLagM:Time Series Regression Models with Distributed Lag Models

Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Demirhan (2020)(<doi:10.1371/journal.pone.0228812>) and Baltagi (2011)(<doi:10.1007/978-3-642-20059-5>) for more information.

Maintained by Haydar Demirhan. Last updated 1 years ago.

6.6 match 2 stars 3.18 score 127 scripts

sammo3182

drhur:Learning R with Dr. Hu

Tutarials of R learning easily and happily.

Maintained by Yue Hu. Last updated 1 years ago.

3.4 match 18 stars 6.06 score 16 scripts

cran

VFP:Variance Function Program

Variance function estimation for models proposed by W. Sadler in his variance function program ('VFP', www.aacb.asn.au/AACB/Resources/Variance-Function-Program). Here, the idea is to fit multiple variance functions to a data set and consequently assess which function reflects the relationship 'Var ~ Mean' best. For 'in-vitro diagnostic' ('IVD') assays modeling this relationship is of great importance when individual test-results are used for defining follow-up treatment of patients.

Maintained by Andre Schuetzenmeister. Last updated 2 months ago.

6.9 match 3.01 score 17 scripts

jlacko

RCzechia:Spatial Objects of the Czech Republic

Administrative regions and other spatial objects of the Czech Republic.

Maintained by Jindra Lacko. Last updated 3 days ago.

czech-republic shapefile

3.0 match 25 stars 6.87 score 85 scripts

thothorn

HSAUR:A Handbook of Statistical Analyses Using R (1st Edition)

Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available.

Maintained by Torsten Hothorn. Last updated 3 years ago.

3.4 match 6.07 score 253 scripts 5 dependents

ropensci

dwctaxon:Edit and Validate Darwin Core Taxon Data

Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core 'Taxon' class <https://dwc.tdwg.org/terms/#taxon>).

Maintained by Joel H. Nitta. Last updated 8 months ago.

database

3.3 match 6 stars 6.13 score 28 scripts

pbiecek

PogromcyDanych:DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to the People

The data sets used in the online course ,,PogromcyDanych''. You can process data in many ways. The course Data Crunchers will introduce you to this variety. For this reason we will work on datasets of different size (from several to several hundred thousand rows), with various level of complexity (from two to two thousand columns) and prepared in different formats (text data, quantitative data and qualitative data). All of these data sets were gathered in a single big package called PogromcyDanych to facilitate access to them. It contains all sorts of data sets such as data about offer prices of cars, results of opinion polls, information about changes in stock market indices, data about names given to newborn babies, ski jumping results or information about outcomes of breast cancer patients treatment.

Maintained by Przemyslaw Biecek. Last updated 2 years ago.

3.8 match 8 stars 5.41 score 215 scripts 1 dependents

great-northern-diver

zenplots:Zigzag Expanded Navigation Plots

Graphical tools for visualizing high-dimensional data along a path of alternating one- and two-dimensional plots. Note that this includes interactive graphics plots based on 'loon' in turn based on 'tcltk' (included as part of the standard R distribution). It also requires 'graph' from Bioconductor. For more detail on use and algorithms, see <doi:10.18637/jss.v095.i04>.

Maintained by Wayne Oldford. Last updated 1 years ago.

dimensional-data dimensional-plots graphical-systems pairs zigzag

3.8 match 3 stars 5.33 score 12 scripts 1 dependents

vladimirholy

gasmodel:Generalized Autoregressive Score Models

Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, Koopman, and Lucas (2013) <doi:10.1002/jae.1279> and Harvey (2013) <doi:10.1017/cbo9781139540933>. Model specification allows for various data types and distributions, different parametrizations, exogenous variables, joint and separate modeling of exogenous variables and dynamics, higher score and autoregressive orders, custom and unconditional initial values of time-varying parameters, fixed and bounded values of coefficients, and missing values. Model estimation is performed by the maximum likelihood method.

Maintained by Vladimír Holý. Last updated 1 years ago.

dcs gas time-series

3.6 match 14 stars 5.45 score 2 scripts

idem-lab

conmat:Builds Contact Matrices using GAMs and Population Data

Builds contact matrices using GAMs and population data. This package incorporates data that is copyright Commonwealth of Australia (Australian Electoral Commission and Australian Bureau of Statistics) 2020.

Maintained by Nicholas Tierney. Last updated 8 days ago.

contact-matrices infectious-diseases population-data public-health

2.7 match 19 stars 7.21 score 47 scripts

gitboosting

imuf:Estimate Orientation of an Inertial Measurement Unit

Estimate the orientation of an inertial measurement unit (IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope readings, time duration, its initial orientation, and a gain factor as inputs, and returns an estimate of the IMU's final orientation.

Maintained by Felix Chan. Last updated 19 days ago.

cpp

3.6 match 5.38 score 12 scripts

jvanschalkwyk

corona:Coronavirus ('Rona') Data Exploration

Manipulate and view coronavirus data and other societally relevant data at a basic level.

Maintained by Jo van Schalkwyk. Last updated 4 years ago.

7.1 match 2.70 score 1 scripts

ncss-tech

SoilTaxonomy:A System of Soil Classification for Making and Interpreting Soil Surveys

Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.

Maintained by Andrew Brown. Last updated 6 months ago.

great-group ncss-tech soil soil-survey soil-taxonomy subgroup suborder usda

3.4 match 15 stars 5.65 score

eliaskrainski

INLAspacetime:Spatial and Spatio-Temporal Models using 'INLA'

Prepare objects to implement models over spatial and spacetime domains with the 'INLA' package (<https://www.r-inla.org>). These objects contain data to for the 'cgeneric' interface in 'INLA', enabling fast parallel computations. We implemented the spatial barrier model, see Bakka et. al. (2019) <doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal models proposed in Lindgren et. al. (2023) <https://www.idescat.cat/sort/sort481/48.1.1.Lindgren-etal.pdf>. Details are provided in the available vignettes and from the URL bellow.

Maintained by Elias Teixeira Krainski. Last updated 4 days ago.

openblas

2.7 match 4 stars 7.05 score 56 scripts

pik-piam

mrindustry:input data generation for the REMIND industry module

The mrindustry packages contains data preprocessing for the REMIND model.

Maintained by Falk Benke. Last updated 17 hours ago.

3.5 match 5.43 score 2 dependents

bernhard-da

cellKey:Consistent Perturbation of Statistical Frequency- And Magnitude Tables

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

Maintained by Bernhard Meindl. Last updated 1 years ago.

7.0 match 2.70 score 7 scripts

trevorhastie

ISLR2:Introduction to Statistical Learning, Second Edition

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Maintained by Trevor Hastie. Last updated 2 years ago.

3.4 match 2 stars 5.49 score 2.2k scripts

alanarnholt

PASWR:Probability and Statistics with R

Functions and data sets for the text Probability and Statistics with R.

Maintained by Alan T. Arnholt. Last updated 3 years ago.

4.0 match 2 stars 4.70 score 241 scripts

darwin-eu

TreatmentPatterns:Analyzes Real-World Treatment Patterns of a Study Population of Interest

Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.

Maintained by Maarten van Kessel. Last updated 7 days ago.

2.8 match 2 stars 6.62 score 65 scripts

thothorn

HSAUR2:A Handbook of Statistical Analyses Using R (2nd Edition)

Functions, data sets, analyses and examples from the second edition of the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).

Maintained by Torsten Hothorn. Last updated 2 years ago.

3.4 match 5.51 score 181 scripts 1 dependents

ropensci

wmm:World Magnetic Model

Calculate magnetic field at a given location and time according to the World Magnetic Model (WMM). Both the main field and secular variation components are returned. This functionality is useful for physicists and geophysicists who need orthogonal components from WMM. Currently, this package supports annualized time inputs between 2000 and 2025. If desired, users can specify which WMM version to use, e.g., the original WMM2015 release or the recent out-of-cycle WMM2015 release. Methods used to implement WMM, including the Gauss coefficients for each release, are described in the following publications: Chulliat et al (2020) <doi:10.25923/ytk1-yx35>, Chulliat et al (2019) <doi:10.25921/xhr3-0t19>, Chulliat et al (2015) <doi:10.7289/V5TB14V7>, Maus et al (2010) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/WMM2010_Report.pdf>, McLean et al (2004) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/TRWMM_2005.pdf>, and Macmillian et al (2000) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/wmm2000.pdf>.

Maintained by Will Frierson. Last updated 1 years ago.

3.8 match 7 stars 4.85 score

karlines

marelac:Tools for Aquatic Sciences

Datasets, constants, conversion factors, and utilities for 'MArine', 'Riverine', 'Estuarine', 'LAcustrine' and 'Coastal' science. The package contains among others: (1) chemical and physical constants and datasets, e.g. atomic weights, gas constants, the earths bathymetry; (2) conversion factors (e.g. gram to mol to liter, barometric units, temperature, salinity); (3) physical functions, e.g. to estimate concentrations of conservative substances, gas transfer and diffusion coefficients, the Coriolis force and gravity; (4) thermophysical properties of the seawater, as from the UNESCO polynomial or from the more recent derivation based on a Gibbs function.

Maintained by Karline Soetaert. Last updated 1 years ago.

fortran

4.0 match 4.63 score 119 scripts 4 dependents

r-spatial

rgee:R Bindings for Calling the 'Earth Engine' API

Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.

Maintained by Cesar Aybar. Last updated 12 hours ago.

earth-engine earthengine google-earth-engine googleearthengine spatial-analysis spatial-data

1.3 match 716 stars 13.78 score 1.9k scripts 3 dependents

dkibalnikov

donutsk:Construct Advanced Donut Charts

Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.

Maintained by Dmitry Kibalnikov. Last updated 11 months ago.

3.5 match 6 stars 5.18 score 2 scripts

cran

VCA:Variance Component Analysis

ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.

Maintained by Andre Schuetzenmeister. Last updated 1 years ago.

fortran openblas

4.0 match 2 stars 4.51 score 5 dependents

arilamstein

choroplethr:Simplify the Creation of Choropleth Maps in R

Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.

Maintained by Ari Lamstein. Last updated 1 years ago.

2.6 match 3 stars 6.85 score 860 scripts 1 dependents

hanase

wpp2019:World Population Prospects 2019

Provides data from the United Nation's World Population Prospects 2019.

Maintained by Hana Sevcikova. Last updated 5 years ago.

5.6 match 1 stars 3.17 score 99 scripts 5 dependents

ebvcube

ebvcube:Working with netCDF for Essential Biodiversity Variables

The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.

Maintained by Luise Quoss. Last updated 13 days ago.

biodiversity-standards essential-biodiversity-variables netcdf4

3.8 match 5 stars 4.70 score

otsegun

fdaoutlier:Outlier Detection Tools for Functional Data Analysis

A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) <doi:10.1016/j.csda.2018.03.017>, MS-plot by Dai and Genton (2018) <doi:10.1080/10618600.2018.1473781>, total variation depth and modified shape similarity index by Huang and Sun (2019) <doi:10.1080/00401706.2019.1574241>, and sequential transformations by Dai et al. (2020) <doi:10.1016/j.csda.2020.106960 among others. Additional outlier detection tools and depths for functional data like functional boxplot, (modified) band depth etc., are also available.

Maintained by Oluwasegun Taiwo Ojo. Last updated 1 years ago.

outlier-detection cpp

3.8 match 5 stars 4.70 score 20 scripts

boopsboops

spider:Species Identity and Evolution in R

Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.

Maintained by Rupert A. Collins. Last updated 6 years ago.

dna-barcode edna evolution species-delimitation species-identity

3.4 match 2 stars 5.20 score 66 scripts 1 dependents

hypertidy

sfdct:Constrained Triangulation for Simple Features

Build a constrained high quality Delaunay triangulation from simple features objects, applying constraints based on input line segments, and triangle properties including maximum area, minimum internal angle. The triangulation code in 'RTriangle' uses the method of Cheng, Dey and Shewchuk (2012, ISBN:9781584887300). For a low-dependency alternative with low-quality path-based constrained triangulation see <https://CRAN.R-project.org/package=decido> and for high-quality configurable triangulation see <https://github.com/hypertidy/anglr>. Also consider comparison with the 'GEOS' lib which since version 3.10.0 includes a low quality polygon triangulation method that starts with ear clipping and refines to Delaunay.

Maintained by Michael D. Sumner. Last updated 1 years ago.

3.8 match 3 stars 4.67 score 31 scripts

decisionpatterns

optigrab:Command-Line Parsing for an R World

Parse options from the command-line using a simple, clean syntax. It requires little or no specification and supports short and long options, GNU-, Java- or Microsoft- style syntaxes, verb commands and more.

Maintained by Christopher Brown. Last updated 6 years ago.

3.0 match 8 stars 5.80 score 39 scripts

rimagination

ggmapcn:Customizable China Map Visualizations

ggmapcn is a ggplot2 extension package for visualizing China’s map with customizable projections and styling.

Maintained by Liang Ren. Last updated 4 months ago.

3.0 match 16 stars 5.81 score 4 scripts

rstudio

pool:Object Pooling

Enables the creation of object pools, which make it less computationally expensive to fetch a new object. Currently the only supported pooled objects are 'DBI' connections.

Maintained by Hadley Wickham. Last updated 5 months ago.

1.3 match 255 stars 12.85 score 684 scripts 27 dependents

sujit-sahu

ipsRdbs:Introduction to Probability, Statistics and R for Data-Based Sciences

Contains data sets, programmes and illustrations discussed in the book, "Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences." Sahu (2024, isbn:9783031378645) describes the methods in detail.

Maintained by Sujit K. Sahu. Last updated 11 months ago.

4.6 match 1 stars 3.70 score 2 scripts

gluc

data.tree:General Purpose Hierarchical Data Structure

Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.

Maintained by Christoph Glur. Last updated 5 months ago.

1.3 match 209 stars 12.84 score 1.1k scripts 88 dependents

frbcesab

rutils:A Collection of R Functions

A collection of R functions commonly used in FRB-CESAB projects.

Maintained by Nicolas Casajus. Last updated 2 months ago.

miscellaneous

3.7 match 2 stars 4.66 score 454 scripts

airpino

HistDAWass:Histogram-Valued Data Analysis

In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.

Maintained by Antonio Irpino. Last updated 1 years ago.

openblas cpp openmp

3.6 match 5 stars 4.75 score 75 scripts

cran

refineR:Reference Interval Estimation using Real-World Data

Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be used to derive reference intervals. Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features. Version 1.0 of the algorithm is described in detail in 'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional guidance on the usage of the algorithm is given in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>.

Maintained by Tatjana Ammer. Last updated 7 months ago.

7.8 match 1 stars 2.18 score 15 scripts

alanarnholt

PASWR2:Probability and Statistics with R, Second Edition

Functions and data sets for the text Probability and Statistics with R, Second Edition.

Maintained by Alan T. Arnholt. Last updated 3 years ago.

4.0 match 1 stars 4.24 score 260 scripts

fcharte

mldr.datasets:R Ultimate Multilabel Dataset Repository

Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.

Maintained by David Charte. Last updated 6 years ago.

3.6 match 8 stars 4.68 score 120 scripts

serafinialessio

dformula:Data Manipulation using Formula

A tool for manipulating data using the generic formula. A single formula allows to easily add, replace and remove variables before running the analysis.

Maintained by Alessio Serafini. Last updated 8 months ago.

data-transformation r-formula

4.5 match 3.70 score 1 scripts