R
Install R
We can install R
as follows:
apt-get install r-base r-base-dev
Verify R Install
R --version
which yields:
R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under the terms of the
GNU General Public License versions 2 or 3.
For more information about these matters see
https://www.gnu.org/licenses/.
OpenBlas support
One may want to have the automatically the multi-threaded OpenBlas library installed in order to get higher performance for linear algebra operations:
apt-get install libopenblas-base
RStudio
RStudio is a GUI for R
.
Install by downloading from the website and then installing via the Ubuntu software installer.
R Packages
Here's my basic set of packages that I install so that I can do most of what I want straight off the bat:
Via the install.packages
command in R:
to_install <-c( "reshape", "rmarkdown",
"plm", "Hmisc", "sandwich",
"Ecdat", "stargazer", "knitr",
"httr", "rvest", "xml2",
"xtable","tidyverse", "AER",
"rdd", "car", "aod", "lmtest",
"lfe", "nlme", "lme4",
"erer", "margins", "multiwayvcov"
"lubridate", "haven", "rddensity",
"rdrobust", "ivpack", "readxl",
"ggrepel", "multiwayvcov", "RSQLite",
"dbplyr", "devtools", "blogdown",
"rticles", "packrat", "here",
"optparse", "rlist"
)
install.packages(to_install)
Note that many dependencies get installed along the way.
I also want some packages to be installed from Github - these typically arent on CRAN yet:
from_gh <- c("ddsjoberg/gtsummary",
"vincentarelbundock/modelsummary",
"rstudio/fontawesome",
"rstudio/gt",
"rstudio/renv"
)
devtools::install_github(from_gh)