michaelchirico Goto Github PK

tibble

A modern re-imagining of the data frame

tidy-text-mining

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

tidygraph

A tidy API for graph manipulation

tidyr

Tidy Messy Data

tidyselect

A backend for functions taking tidyverse selections

tidytext

Text mining using tidy tools :sparkles::page_facing_up::sparkles:

tidyverse.org

Source of tidyverse.org

timechange

Efficient Updating of Date-Times

timetk

Time series analysis in the `tidyverse`

tmle3

🎯🎓 Generalized Targeted Learning Framework

tools_blog

A series of posts exploring the tools R package

top_hanzi

An empirical exploration of 汉字 frequency

tpace

Testing version of fdapace

tuber

:sweet_potato: Access YouTube from R

tzdb

Time Zone Database Information

urltools

Elegant URL handling in R

usethis

Set up commonly used 📦 components

vcov

Faster methods for getting vanilla variance-covariance matrices and standard errors from models

vctrs

Generic programming with typed R vectors

vdiffr

Visual regression testing and graphical diffing with testthat

vegan

R package for community ecologists: popular ordination methods, ecological null models & diversity analysis

vim

This package introduces new tools for the visualization of missing and/or imputed values, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missings and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods.

vroom

Fast reading of delimited files

vscode

Visual Studio Code

vw

R package for integrating Vowpal Wabbit to an analysis pipeline within R

waldo

Find differences between R objects

wesanderson

A Wes Anderson color palette for R

wisconsin_teachers

withr

Methods For Temporarily Modifying Global State

wk

Lightweight Well-Known Geometry Parsing