Showing 29 of total 29 results (show query)
tidyverse
ggplot2:Create Elegant Data Visualisations Using the Grammar of Graphics
A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Maintained by Thomas Lin Pedersen. Last updated 4 days ago.
data-visualisationvisualisation
6.6k stars 25.10 score 645k scripts 7.6k dependentstidyverse
dplyr:A Grammar of Data Manipulation
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Maintained by Hadley Wickham. Last updated 26 days ago.
4.8k stars 24.68 score 659k scripts 7.8k 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 24 days ago.
docxeasy-to-usehtmllatexrtfsummary-tables
2.1k stars 18.36 score 20k scripts 112 dependents
ddsjoberg
gtsummary:Presentation-Ready Data Summary and Analytic Result Tables
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Maintained by Daniel D. Sjoberg. Last updated 4 days ago.
easy-to-usegthtml5regression-modelsreproducibilityreproducible-researchstatisticssummary-statisticssummary-tablestable1tableone
1.1k stars 17.02 score 8.2k scripts 15 dependents
stan-dev
bayesplot:Plotting for Bayesian Models
Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Maintained by Jonah Gabry. Last updated 2 months ago.
bayesianggplot2mcmcpandocstanstatistical-graphicsvisualization
436 stars 16.69 score 6.5k scripts 98 dependents
gergness
srvyr:'dplyr'-Like Syntax for Summary Statistics of Survey Data
Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Maintained by Greg Freedman Ellis. Last updated 2 months ago.
215 stars 13.88 score 1.8k scripts 15 dependents
kkholst
lava:Latent Variable Models
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Maintained by Klaus K. Holst. Last updated 3 months ago.
latent-variable-modelssimulationstatisticsstructural-equation-models
33 stars 12.87 score 610 scripts 478 dependents
tidyverts
fabletools:Core Tools for Packages in the 'fable' Framework
Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Maintained by Mitchell OHara-Wild. Last updated 2 months ago.
91 stars 12.18 score 396 scripts 18 dependents
bioc
glmGamPoi:Fit a Gamma-Poisson Generalized Linear Model
Fit linear models to overdispersed count data. The package can estimate the overdispersion and fit repeated models for matrix input. It is designed to handle large input datasets as they typically occur in single cell RNA-seq experiments.
Maintained by Constantin Ahlmann-Eltze. Last updated 12 days ago.
regressionrnaseqsoftwaresinglecellgamma-poissonglmnegative-binomial-regressionon-diskopenblascpp
111 stars 12.16 score 1.0k scripts 4 dependents
larmarange
broom.helpers:Helpers for Model Coefficients Tibbles
Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Maintained by Joseph Larmarange. Last updated 23 days ago.
22 stars 11.45 score 165 scripts 2 dependents
jthomasmock
gtExtras:Extending 'gt' for Beautiful HTML Tables
Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Maintained by Thomas Mock. Last updated 12 months ago.
data-sciencedata-visualizationdatascienceggplot2gtplotssparklinesparkline-graphssparklinestables
199 stars 11.45 score 2.4k scripts 3 dependents
insightsengineering
cards:Analysis Results Data
Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Maintained by Daniel D. Sjoberg. Last updated 28 days ago.
39 stars 11.41 score 100 scripts 20 dependents
gdemin
expss:Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Maintained by Gregory Demin. Last updated 12 months ago.
excellabelslabels-supportmsexcelpivot-tablesrecodespssspss-statisticstablesvariable-labelsvlookup
84 stars 11.00 score 1.8k scripts 4 dependentsrstudio
pointblank:Data Validation and Organization of Metadata for Local and Remote Tables
Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Maintained by Richard Iannone. Last updated 3 days ago.
data-assertionsdata-checkerdata-dictionariesdata-framesdata-inferencedata-managementdata-profilerdata-qualitydata-validationdata-verificationdatabase-tableseasy-to-understandreporting-toolschema-validationtesting-toolsyaml-configuration
942 stars 10.73 score 284 scripts
ropensci
jqr:Client for 'jq', a 'JSON' Processor
Client for 'jq', a 'JSON' processor (<https://jqlang.github.io/jq/>), written in C. 'jq' allows the following with 'JSON' data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Maintained by Jeroen Ooms. Last updated 4 months ago.
144 stars 10.04 score 95 scripts 28 dependents
dreamrs
apexcharter:Create Interactive Chart with the JavaScript 'ApexCharts' Library
Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Maintained by Victor Perrier. Last updated 1 months ago.
144 stars 8.43 score 247 scripts
declaredesign
DeclareDesign:Declare and Diagnose Research Designs
Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Maintained by Graeme Blair. Last updated 2 months ago.
101 stars 8.42 score 398 scripts 1 dependentsbioc
lemur:Latent Embedding Multivariate Regression
Fit a latent embedding multivariate regression (LEMUR) model to multi-condition single-cell data. The model provides a parametric description of single-cell data measured with treatment vs. control or more complex experimental designs. The parametric model is used to (1) align conditions, (2) predict log fold changes between conditions for all cells, and (3) identify cell neighborhoods with consistent log fold changes. For those neighborhoods, a pseudobulked differential expression test is conducted to assess which genes are significantly changed.
Maintained by Constantin Ahlmann-Eltze. Last updated 5 months ago.
transcriptomicsdifferentialexpressionsinglecelldimensionreductionregressionopenblascpp
87 stars 7.69 score 81 scripts
earowang
sugrrants:Supporting Graphs for Analysing Time Series
Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.
Maintained by Earo Wang. Last updated 1 years ago.
statistical-graphicstime-series
82 stars 7.42 score 214 scripts 1 dependents
jeffreyevans
yaImpute:Nearest Neighbor Observation Imputation and Evaluation Tools
Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation: analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Maintained by Jeffrey S. Evans. Last updated 7 months ago.
3 stars 7.40 score 94 scripts 12 dependents
avi-kenny
SimEngine:A Modular Framework for Statistical Simulations in R
An open-source R package for structuring, maintaining, running, and debugging statistical simulations on both local and cluster-based computing environments.See full documentation at <https://avi-kenny.github.io/SimEngine/>.
Maintained by Avi Kenny. Last updated 1 months ago.
12 stars 6.95 score 50 scripts
shannonpileggi
gtreg:Regulatory Tables for Clinical Research
Creates tables suitable for regulatory agency submission by leveraging the 'gtsummary' package as the back end. Tables can be exported to HTML, Word, PDF and more. Highly customized outputs are available by utilizing existing styling functions from 'gtsummary' as well as custom options designed for regulatory tables.
Maintained by Shannon Pileggi. Last updated 1 months ago.
37 stars 6.92 score 30 scriptsdreamrs
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.
9 stars 6.89 score 96 scripts
bmihaljevic
bnclassify:Learning Discrete Bayesian Network Classifiers from Data
State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.
Maintained by Mihaljevic Bojan. Last updated 1 years ago.
18 stars 6.85 score 66 scripts
robinhankin
mvp:Fast Symbolic Multivariate Polynomials
Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Maintained by Robin K. S. Hankin. Last updated 16 days ago.
9 stars 6.83 score 36 scripts 2 dependents
paleolimbot
tidypaleo:Tidy Tools for Paleoenvironmental Archives
Provides a set of functions with a common framework for age-depth model management, stratigraphic visualization, and common statistical transformations. The focus of the package is stratigraphic visualization, for which 'ggplot2' components are provided to reproduce the scales, geometries, facets, and theme elements commonly used in publication-quality stratigraphic diagrams. Helpers are also provided to reproduce the exploratory statistical summaries that are frequently included on stratigraphic diagrams. See Dunnington et al. (2021) <doi:10.18637/jss.v101.i07>.
Maintained by Dewey Dunnington. Last updated 2 years ago.
34 stars 6.59 score 38 scripts
dkahle
mpoly:Symbolic Computation and More with Multivariate Polynomials
Symbolic computing with multivariate polynomials in R.
Maintained by David Kahle. Last updated 4 months ago.
12 stars 6.25 score 70 scripts 7 dependents
beerda
lfl:Linguistic Fuzzy Logic
Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.
Maintained by Michal Burda. Last updated 5 months ago.
association-rulesforecast-modelfuzzy-logicinference-rulescppopenmp
8 stars 5.35 score 28 scripts
schuch666
eva3dm:Evaluation of 3D Meteorological and Air Quality Models
Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Maintained by Daniel Schuch. Last updated 3 days ago.
air-quality-modelair-quality-model-evaluationatmosatmosphereatmospheric-chemistryatmospheric-modellingatmospheric-modelsatmospheric-scienceevaluationmodel-evaluationmodel-evaluation-metricswrf-chem
4 stars 4.76 score 3 scripts