This page has links to documentation for various packages as well as tutorials in econometrics in R.
R for data science - Data analysis with tidyverse, by the founder of the packages. The definitive guide.
Rmarkdown book - Create texts, books, sites, presentations with rmarkdown. Official documentation
Big boook of R - Comprehensive list of R textbooks both online and for purchase
Data Visualization for Social Science - Plotting in practice ggplot
http://r-statistics.co/ has data analysis and time series, outliers
Exploratory Data Analysis in R - Lessons in plotting, data management and some stats
More textbooks - created in rmarkdown
https://www.tidyverse.org/ - tidyverse documentation
rmarkdown.rstudio.com - rmarkdown documentation
Documentation of R packages
Tidy tools for time series analysis in R
Some regressions with data_frames
tidyquant package
tsibble - time series data frame
sweep package forecasting
Tidyverse packages - online documentation of the tidyverse packages
estimatr package has robust se and FE, from DeclareDesign
The huxtable package is for tables
stargazer is the classic package for regression tables. The huxtable package is better
texreg is an alternative to stargazer, manual handling of robust se
summ package for regressions
The broom package is useful for extracting information from a regression
finalfit is another package
The skimr package has summary statistics in R - complete but complicated
The knitr package has the kable function for tables in rmarkdown
gt package is a powerful package for tables, created by Rstudio
sumtable package Table of summary statistics
corrr package to create a correlation table of variables in a data frame
R tidylog package to get more output messages from dplyr
R packages for cleaning
Variable labels in R - Stata has variable labels. Here is an R alternative.
addinlist package - Help manage Rstudio addins
Radiant
Install Radiant dev version
Robust and FE
Insert table rstudio addin to generate code creating a tribble and displaying it. For example from Excel
datapasta can also be used to paste clipboard table data as a tribble,.
Rmarkdown