Showing 14 of total 14 results (show query)
tidyverse
forcats:Tools for Working with Categorical Variables (Factors)
Helpers for reordering factor levels (including moving specified levels to front, ordering by first appearance, reversing, and randomly shuffling), and tools for modifying factor levels (including collapsing rare levels into other, 'anonymising', and manually 'recoding').
Maintained by Hadley Wickham. Last updated 1 years ago.
553 stars 18.79 score 21k scripts 1.2k dependentstidyverse
haven:Import and Export 'SPSS', 'Stata' and 'SAS' Files
Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Maintained by Hadley Wickham. Last updated 6 months ago.
427 stars 18.63 score 18k scripts 682 dependents
ipums
ipumsr:An R Interface for Downloading, Reading, and Handling IPUMS Data
An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and download data through the IPUMS API and load IPUMS files into R with their associated metadata to make analysis easier. IPUMS data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from the IPUMS website <https://www.ipums.org>.
Maintained by Derek Burk. Last updated 1 months ago.
30 stars 11.05 score 720 scripts 2 dependents
mlr-org
mlr3misc:Helper Functions for 'mlr3'
Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Maintained by Marc Becker. Last updated 4 months ago.
machine-learningmiscellaneousmlr3
12 stars 10.28 score 302 scripts 42 dependents
rubenarslan
codebook:Automatic Codebooks from Metadata Encoded in Dataset Attributes
Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Maintained by Ruben Arslan. Last updated 3 months ago.
codebookdocumentationformrjson-ldmetadataspsswebapp
143 stars 8.29 score 229 scripts
radiant-rstats
radiant.data:Data Menu for Radiant: Business Analytics using R and Shiny
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Maintained by Vincent Nijs. Last updated 5 months ago.
53 stars 8.25 score 146 scripts 6 dependents
ropengov
retroharmonize:Ex Post Survey Data Harmonization
Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Maintained by Daniel Antal. Last updated 2 months ago.
10 stars 7.62 score 59 scripts
nicchr
cheapr:Simple Functions to Save Time and Memory
Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Maintained by Nick Christofides. Last updated 1 days ago.
19 stars 7.21 score 73 scripts 2 dependents
kharchenkolab
sccore:Core Utilities for Single-Cell RNA-Seq
Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
Maintained by Evan Biederstedt. Last updated 1 years ago.
12 stars 6.46 score 36 scripts 9 dependents
trinker
numform:Tools to Format Numbers for Publication
Format numbers and plots for publication; includes the removal of leading zeros, standardization of number of digits, addition of affixes, and a p-value formatter. These tools combine the functionality of several 'base' functions such as 'paste()', 'format()', and 'sprintf()' into specific use case functions that are named in a way that is consistent with usage, making their names easy to remember and easy to deploy.
Maintained by Tyler Rinker. Last updated 3 years ago.
51 stars 6.06 score 151 scripts 1 dependents
bergsmat
encode:Represent Ordered Lists and Pairs as Strings
Interconverts between ordered lists and compact string notation. Useful for capturing code lists, and pair-wise codes and decodes, for text storage. Analogous to factor levels and labels. Generics encode() and decode() perform interconversion, while codes() and decodes() extract components of an encoding. The function encoded() checks whether something is interpretable as an encoding. If a vector has an encoded 'guide' attribute, as_factor() uses it to coerce to factor.
Maintained by Tim Bergsma. Last updated 6 years ago.
2 stars 4.03 score 12 scripts 5 dependents
hughparsonage
factor256:Use Raw Vectors to Minimize Memory Consumption of Factors
Uses raw vectors to minimize memory consumption of categorical variables with fewer than 256 unique values. Useful for analysis of large datasets involving variables such as age, years, states, countries, or education levels.
Maintained by Hugh Parsonage. Last updated 1 years ago.
1 stars 2.70 score 5 scripts