Showing 68 of total 68 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
r-lib
rlang:Functions for Base Types and Core R and 'Tidyverse' Features
A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Maintained by Lionel Henry. Last updated 4 days ago.
517 stars 20.56 score 9.8k scripts 15k dependentsr-lib
tidyselect:Select from a Set of Strings
A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Maintained by Lionel Henry. Last updated 4 months ago.
130 stars 18.31 score 1.9k scripts 8.2k dependents
business-science
timetk:A Tool Kit for Working with Time Series
Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Maintained by Matt Dancho. Last updated 1 years ago.
coercioncoercion-functionsdata-miningdplyrforecastforecastingforecasting-modelsmachine-learningseries-decompositionseries-signaturetibbletidytidyquanttidyversetimetime-seriestimeseries
626 stars 14.20 score 4.0k scripts 16 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
markfairbanks
tidytable:Tidy Interface to 'data.table'
A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Maintained by Mark Fairbanks. Last updated 2 months ago.
460 stars 11.39 score 732 scripts 11 dependents
bioc
decoupleR:decoupleR: Ensemble of computational methods to infer biological activities from omics data
Many methods allow us to extract biological activities from omics data using information from prior knowledge resources, reducing the dimensionality for increased statistical power and better interpretability. Here, we present decoupleR, a Bioconductor package containing different statistical methods to extract these signatures within a unified framework. decoupleR allows the user to flexibly test any method with any resource. It incorporates methods that take into account the sign and weight of network interactions. decoupleR can be used with any omic, as long as its features can be linked to a biological process based on prior knowledge. For example, in transcriptomics gene sets regulated by a transcription factor, or in phospho-proteomics phosphosites that are targeted by a kinase.
Maintained by Pau Badia-i-Mompel. Last updated 5 months ago.
differentialexpressionfunctionalgenomicsgeneexpressiongeneregulationnetworksoftwarestatisticalmethodtranscription
230 stars 11.27 score 316 scripts 3 dependentsbusiness-science
modeltime:The Tidymodels Extension for Time Series Modeling
The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Maintained by Matt Dancho. Last updated 5 months ago.
arimadata-sciencedeep-learningetsforecastingmachine-learningmachine-learning-algorithmsmodeltimeprophettbatstidymodelingtidymodelstimetime-seriestime-series-analysistimeseriestimeseries-forecasting
551 stars 10.61 score 1.1k scripts 7 dependents
ropensci
tidyhydat:Extract and Tidy Canadian 'Hydrometric' Data
Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Maintained by Sam Albers. Last updated 18 days ago.
citzgovernment-datahydrologyhydrometricstidy-datawater-resources
71 stars 9.59 score 202 scripts 3 dependents
shixiangwang
sigminer:Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Maintained by Shixiang Wang. Last updated 6 months ago.
bayesian-nmfbioinformaticscancer-researchcnvcopynumber-signaturescosmic-signaturesdbseasy-to-useindelmutational-signaturesnmfnmf-extractionsbssignature-extractionsomatic-mutationssomatic-variantsvisualizationcpp
150 stars 9.48 score 123 scripts 2 dependents
business-science
modeltime.ensemble:Ensemble Algorithms for Time Series Forecasting with Modeltime
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.
Maintained by Matt Dancho. Last updated 8 months ago.
ensembleensemble-learningforecastforecastingmodeltimestackingstacking-ensembletidymodelstimetime-seriestimeseries
77 stars 8.30 score 143 scripts
edjnet
tidywikidatar:Explore 'Wikidata' Through Tidy Data Frames
Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Maintained by Giorgio Comai. Last updated 8 months ago.
26 stars 7.76 score 46 scripts 2 dependentsropensci
ruODK:An R Client for the ODK Central API
Access and tidy up data from the 'ODK Central' API. 'ODK Central' is a clearinghouse for digitally captured data using ODK <https://docs.getodk.org/central-intro/>. It manages user accounts and permissions, stores form definitions, and allows data collection clients like 'ODK Collect' to connect to it for form download and submission upload. The 'ODK Central' API is documented at <https://docs.getodk.org/central-api/>.
Maintained by Florian W. Mayer. Last updated 5 months ago.
databaseopen-dataodkapidatadatasetodataodata-clientodk-centralopendatakit
42 stars 7.73 score 57 scripts 1 dependents
spsanderson
TidyDensity:Functions for Tidy Analysis and Generation of Random Data
To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Maintained by Steven Sanderson. Last updated 5 months ago.
bootstrapdensitydistributionsggplot2probabilityr-languagesimulationstatisticstibbletidy
34 stars 7.73 score 66 scripts 1 dependentsspsanderson
healthyR.ts:The Time Series Modeling Companion to 'healthyR'
Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 6 months ago.
aiarima-forecastingarima-modeletsforecastingggplot2machine-learningmodelingprophettime-seriestime-series-analysisworkflows
19 stars 7.58 score 56 scripts 1 dependents
rmi-pacta
r2dii.analysis:Measure Climate Scenario Alignment of Corporate Loans
These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Maintained by Jacob Kastl. Last updated 25 days ago.
12 stars 7.45 score 46 scripts 2 dependentsspsanderson
healthyR.ai:The Machine Learning and AI Modeling Companion to 'healthyR'
Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 2 months ago.
aiartificial-intelligencehealthcareanalyticshealthyrhealthyversemachine-learning
16 stars 7.37 score 36 scripts 1 dependentsspsanderson
healthyR:Hospital Data Analysis Workflow Tools
Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 9 months ago.
analysisanalyticshealthcarehealthyr
30 stars 7.27 score 103 scripts 1 dependentsshixiangwang
ezcox:Easily Process a Batch of Cox Models
A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Maintained by Shixiang Wang. Last updated 1 years ago.
21 stars 7.22 score 44 scripts 1 dependents
padrinodb
ipmr:Integral Projection Models
Flexibly implements Integral Projection Models using a mathematical(ish) syntax. This package will not help with the vital rate modeling process, but will help convert those regression models into an IPM. 'ipmr' handles density dependence and environmental stochasticity, with a couple of options for implementing the latter. In addition, provides functions to avoid unintentional eviction of individuals from models. Additionally, provides model diagnostic tools, plotting functionality, stochastic/deterministic simulations, and analysis tools. Integral projection models are described in depth by Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. Williams et al. (2012) <doi:10.1890/11-2147.1> discuss the problem of unintentional eviction.
Maintained by Sam Levin. Last updated 5 months ago.
demographyintegral-projection-modelscpp
7 stars 6.92 score 66 scripts 1 dependents
wjakethompson
measr:Bayesian Psychometric Measurement Using 'Stan'
Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Maintained by W. Jake Thompson. Last updated 1 days ago.
bayesiancdmcmdstanrcognitive-diagnosiscognitive-diagnostic-modelsdcmdiagnostic-classification-modelspsychometricsrstanstancpp
10 stars 6.81 score 31 scriptsbusiness-science
modeltime.resample:Resampling Tools for Time Series Forecasting
A 'modeltime' extension that implements forecast resampling tools that assess time-based model performance and stability for a single time series, panel data, and cross-sectional time series analysis.
Maintained by Matt Dancho. Last updated 1 years ago.
accuracy-metricsbacktestingbootstrapbootstrappingcross-validationforecastingmodeltimemodeltime-resampleresamplingstatisticstidymodelstime-series
19 stars 6.64 score 38 scripts 1 dependentsspsanderson
tidyAML:Automatic Machine Learning with 'tidymodels'
The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Maintained by Steven Sanderson. Last updated 11 months ago.
automatic-machine-learningautomlclassificationmachine-learningparsnipr-languager-programmingregressiontidytidymodelstidyverse
68 stars 6.56 score 36 scripts 1 dependents
jamovi
jmvcore:Dependencies for the 'jamovi' Framework
A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Maintained by Jonathon Love. Last updated 7 months ago.
4 stars 6.51 score 20 scripts 8 dependents
lhdjung
scrutiny:Error Detection in Science
Test published summary statistics for consistency (Brown and Heathers, 2017, <doi:10.1177/1948550616673876>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.
Maintained by Lukas Jung. Last updated 6 months ago.
8 stars 6.22 score 38 scripts
jimbrig
lossrx:Actuarial Loss Development and Reserving with R
Actuarial Loss Development and Reserving Helper Functions and ShinyApp.
Maintained by Jimmy Briggs. Last updated 3 months ago.
actuarial-scienceclaims-dataclaims-reservingdata-scienceinsurancemodellingproperty-casualtyreservingrshinyworkflow
14 stars 5.82 score 7 scripts
christopherkenny
censable:Making Census Data More Usable
Creates a common framework for organizing, naming, and gathering population, age, race, and ethnicity data from the Census Bureau. Accesses the API <https://www.census.gov/data/developers/data-sets.html>. Provides tools for adding information to existing data to line up with Census data.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
8 stars 5.30 score 42 scripts 4 dependents
fredhasselman
invctr:Infix Functions For Vector Operations
Vector operations between grapes: An infix-only package! The 'invctr' functions perform common and less common operations on vectors, data frames matrices and list objects: - Extracting a value (range), or, finding the indices of a value (range). - Trimming, or padding a vector with a value of your choice. - Simple polynomial regression. - Set and membership operations. - General check & replace function for NAs, Inf and other values.
Maintained by Fred Hasselman. Last updated 1 months ago.
5 stars 5.30 score 40 scriptsspsanderson
healthyverse:Easily Install and Load the 'healthyverse'
The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.
Maintained by Steven Sanderson. Last updated 6 months ago.
analyticshealthcarehealthcare-applicationinstallationinstallermetapackages
11 stars 5.12 score 24 scriptspadrinodb
Rpadrino:Interact with the 'PADRINO' IPM Database
'PADRINO' houses textual representations of Integral Projection Models which can be converted from their table format into full kernels to reproduce or extend an already published analysis. 'Rpadrino' is an R interface to this database. For more information on Integral Projection Models, see Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information on 'ipmr', the engine that powers model reconstruction <doi:10.1111/2041-210X.13683>.
Maintained by Sam Levin. Last updated 2 years ago.
3 stars 4.95 score 15 scripts
forestgeo
fgeo.tool:Import and Manipulate 'ForestGEO' Data
To help you access, transform, analyze, and visualize 'ForestGEO' data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to easily import, filter, and modify 'ForestGEO' data. To learn more about 'ForestGEO' visit <https://forestgeo.si.edu/>.
Maintained by Mauro Lepore. Last updated 3 years ago.
dynamicsecologyfgeoforestgeomiscelaneastoolstreeutils
2 stars 4.86 score 27 scripts 3 dependents
jonnob
rsetse:Strain Elevation Tension Spring Embedding
An R implementation for the Strain Elevation and Tension embedding algorithm from Bourne (2020) <doi:10.1007/s41109-020-00329-4>. The package embeds graphs and networks using the Strain Elevation and Tension embedding (SETSe) algorithm. SETSe represents the network as a physical system, where edges are elastic, and nodes exert a force either up or down based on node features. SETSe positions the nodes vertically such that the tension in the edges of a node is equal and opposite to the force it exerts for all nodes in the network. The resultant structure can then be analysed by looking at the node elevation and the edge strain and tension. This algorithm works on weighted and unweighted networks as well as networks with or without explicit node features. Edge elasticity can be created from existing edge weights or kept as a constant.
Maintained by Jonathan Bourne. Last updated 3 years ago.
embeddingembedding-graphsgraph-embeddingigraphnetworksnetworkscienceunsupervised-learningopenblascppopenmp
7 stars 4.85 score 8 scripts
scholaempirica
reschola:The Schola Empirica Package
A collection of utilies, themes and templates for data analysis at Schola Empirica.
Maintained by Jan Netík. Last updated 6 months ago.
4 stars 4.83 score 14 scripts
rdinnager
slimr:Create, Run and Post-Process 'SLiM' Population Genetics Forward Simulations
Lets you write 'SLiM' scripts (population genomics simulation) using your favourite R IDE, using a syntax as close as possible to the original 'SLiM' language. It offer many tools to manipulate those scripts, as well as run them in the 'SLiM' software from R, as well as capture and post-process their output, after or even during a simulation.
Maintained by Russell Dinnage. Last updated 5 months ago.
8 stars 4.70 score 42 scriptsshixiangwang
tinyscholar:Get and Show Personal 'Google Scholar' Profile
Provides functions to get personal 'Google Scholar' profile data from web API and show it in table or figure format.
Maintained by Shixiang Wang. Last updated 1 years ago.
8 stars 4.60 score 7 scripts
giocomai
castarter:Content Analysis Starter Toolkit
Consistent approaches for basic web scraping, text mining and word frequency analysis of textual datasets.
Maintained by Giorgio Comai. Last updated 7 hours ago.
3 stars 4.59 score 2 scriptsshixiangwang
metawho:Meta-Analytical Implementation to Identify Who Benefits Most from Treatments
A tool for implementing so called 'deft' approach (see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.
Maintained by Shixiang Wang. Last updated 5 years ago.
deft-approachmeta-analysissubgroup-analysis
7 stars 4.54 score 9 scripts
gaboraszabo
sherlock:Graphical Displays for Structured Problem Solving and Diagnosis
Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
Maintained by Gabor Szabo. Last updated 4 months ago.
7 stars 4.42 score 15 scripts
atlas-aai
tdcmStan:Automating the Creation of Stan Code for TDCMs
A collection of functions for automatically creating 'Stan' code for transition diagnostic classification models (TDCMs) as they are defined by Madison and Bradshaw (2018) <DOI:10.1007/s11336-018-9638-5>. This package supports automating the creation of 'Stan' code for TDCMs, fungible TDCMs (i.e., TDCMs with item parameters constrained to be equal across all items), and multi-threaded TDCMs.
Maintained by Jeffrey Hoover. Last updated 11 months ago.
4.30 score 3 scripts
gongcastro
bvq:Barcelona Vocabulary Questionnaire Database and Helper Functions
Download, clean, and process the Barcelona Vocabulary Questionnaire (BVQ) data. BVQ is a vocabulary inventory developed for assesing the vocabulary of Catalan-Spanish bilinguals infants from the Metropolitan Area of Barcelona (Spain). This package includes functions to download the data from formr servers, and return the processed data in multiple formats.
Maintained by Gonzalo Garcia-Castro. Last updated 3 months ago.
bilingualismlanguagepsycholinguisticsvocabulary
1 stars 4.26 score 8 scriptsatlas-aai
dcm2:Calculating the M2 Model Fit Statistic for Diagnostic Classification Models
A collection of functions for calculating the M2 model fit statistic for diagnostic classification models as described by Liu et al. (2016) <DOI:10.3102/1076998615621293>. These functions provide multiple sources of information for model fit according to the M2 statistic, including the M2 statistic, the *p* value for that M2 statistic, and the Root Mean Square Error of Approximation based on the M2 statistic.
Maintained by Jeffrey Hoover. Last updated 11 months ago.
4.18 score 3 scripts 1 dependents
cran
CohortSurvival:Estimate Survival from Common Data Model Cohorts
Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Maintained by Kim López-Güell. Last updated 10 days ago.
4.08 score
wikihistories
wikkitidy:Tidy Analysis of Wikipedia
Access 'Wikipedia' through the several 'MediaWiki' APIs (<https://www.mediawiki.org/wiki/API>), as well as through the 'XTools' API (<https://www.mediawiki.org/wiki/XTools/API>). Ensure your API calls are correct, and receive results in tidy tibbles.
Maintained by Michael Falk. Last updated 1 months ago.
7 stars 4.02 score 2 scripts
berkorbay
ibb:R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: İstanbul Büyükşehir Belediyesi Açık Veri Portalı) at <https://data.ibb.gov.tr/en/>.
Maintained by Berk Orbay. Last updated 4 years ago.
10 stars 4.00 score 9 scripts
william-swl
baizer:Useful Functions for Data Processing
In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
Maintained by William Song. Last updated 1 years ago.
dataframenumbersstringstidyverse
6 stars 3.95 score 5 scripts 1 dependents
loicym
multibreakeR:Tests for a Structural Change in Multivariate Time Series
Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.
Maintained by Loic Marechal. Last updated 2 years ago.
3.70 score 3 scripts
jakub-jedrusiak
mtscr:Multidimensional Top Scoring for Creativity Research
Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) <doi:10.1037/aca0000571>.
Maintained by Jakub Jędrusiak. Last updated 1 months ago.
creativitypsychologypsychometrics
3.70 score 1 scripts
2degreesinvesting
tiltIndicator:Indicators for the 'TILT' Project
Indicators for the 'TILT' project.
Maintained by Mauro Lepore. Last updated 1 years ago.
1 stars 3.18 score 34 scripts 1 dependents
tjmahr
notestar:Notebooks Using 'Targets' and 'Bookdown'
'Targets' is an R package for dependency and build management in data analysis projects. This package provides a set of targets and project infrastructure to create 'bookdown'-based notebooks using 'targets'.
Maintained by Tristan Mahr. Last updated 2 months ago.
bookdownknitrpandocrmarkdowntargets
30 stars 3.18 score 7 scriptsjimbrig
jimstools:Tools for R
What the package does (one paragraph).
Maintained by Jimmy Briggs. Last updated 3 years ago.
2 stars 3.00 score 2 scriptscran
deident:Persistent Data Anonymization Pipeline
A framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.
Maintained by Robert Cook. Last updated 4 months ago.
2.95 score
eurocontrol
eurocontrol:Helper functions for EUROCONTROL useRs
The helper functions in this package are designed to make it easy, homogeneus and transparent to perform common tasks usually needed by data analysts and useRs in EUROCONTROL.
Maintained by Enrico Spinielli. Last updated 6 months ago.
1 stars 2.85 score 11 scriptsrdinnager
impac:Make packed image mosaics
impac takes a list of images or a function that generates images and packs them onto a canvas using a greedy algorithm, while respecting transparency.
Maintained by Russell Dinnage. Last updated 2 years ago.
14 stars 2.85 score 4 scriptschristopherkenny
divseg:Calculate Diversity and Segregation Indices
Implements common measures of diversity and spatial segregation. This package has tools to compute the majority of measures are reviewed in Massey and Denton (1988) <doi:10.2307/2579183>. Multiple common measures of within-geography diversity are implemented as well. All functions operate on data frames with a 'tidyselect' based workflow.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
1 stars 2.78 score 12 scriptscran
BRVM:Retrieve Historical Data of Companies Listed on the 'BRVM' Stock Exchange
Provide real-time access to data from the Regional Securities Exchange SA(<https://www.brvm.org/en>), commonly known as the 'BRVM' stock exchange. The goal is to facilitate data access for users of the R programming language. The package includes a variety of data that can be accessed by calling functions.
Maintained by Sessie Koffi Frederic. Last updated 1 years ago.
2.70 scoretjmahr
tjmisc:TJ's Miscellany
A collection of helper functions.
Maintained by Tristan Mahr. Last updated 2 years ago.
10 stars 2.70 score 5 scripts
jemus42
poddr:Collect Metadata for Selected Podcasts
Collecting all the data, but just for The Incomparable, Relay.fm and ATP.
Maintained by Lukas Burk. Last updated 28 days ago.
1 stars 2.54 score 6 scripts
igordot
scooter:Streamlined scRNA-Seq Analysis Pipeline
Streamlined scRNA-Seq analysis pipeline.
Maintained by Igor Dolgalev. Last updated 1 years ago.
4 stars 2.51 score 16 scripts
wjschne
WJSmisc:Miscellaneous functions from W. Joel Schneider
Several functions I find useful.
Maintained by W. Joel Schneider. Last updated 2 years ago.
5 stars 2.40 score 10 scriptsigordot
phenomenalist:Analysis Toolkit for PhenoCycler (CODEX) Data in R
A collection of tools for cleaning, clustering, and plotting PhenoCycler (CODEX) data.
Maintained by Igor Dolgalev. Last updated 1 years ago.
3 stars 2.18 score 1 scriptsjimbrig
templateeR:Collection of templates for R
Apply variouse R related templates.
Maintained by Jimmy Briggs. Last updated 3 years ago.
2 stars 2.11 score 13 scripts
bradyajohnston
standard:Simplified Fitting and Use of Standard Curves
{standard} provices a more simplified interface to the linear models system in R for the fitting of standard curves and their usage in biochemistry and molecular biology.
Maintained by Brady Johnston. Last updated 1 years ago.
1.98 score 19 scripts
geomarker-io
cincy:Cincinnati Neighborhood, Tract, County, and ZIP Code Geographies
Provide simple feature (sf) objects for Cincinnati neighborhood, tract, county, and ZIP code geographies.
Maintained by Cole Brokamp. Last updated 1 years ago.
1.74 score 11 scripts
mrc-ide
cart:Malaria Cartographic Information
Extract population, prevalence and vector cartographic information for use with malarisimulation.
Maintained by Pete Winskill. Last updated 3 years ago.
1 stars 1.70 score 8 scripts