1.9 Workshop: Software we will use
- What will we use?
- R (only viable competitor is Python)2
- Check out this chapter.
- We’ll rely on various packages that you install with the code below
install.packages("pacman")
library(pacman)
p_load(readr, tibble, knitr, kableExtra, stargazer,
gridExtra, ggthemes, colorspace, gt, gtrendsR,
CGPfunctions, lubridate, ggrepel, ggcorrplot,
GGally, here, rgdal, sf, cowplot,
gganimate, gapminder, plotly, printr, shiny,
rsconnect, countrycode, WDI, leaflet, HistData,
tidyverse, purrr, stringr, tidyr, broom,
gtrendsR, ggnewscale, sparkline, htmlwidgets, ggmap,
rnaturalearth, rnaturalearthdata, rgeos, ggrepel,
update = FALSE) # Set TRUE to update all
Creators: Core contributors and thousands of package authors.↩
Creators: https://github.com/tidyverse/ggplot2↩
Creators: https://github.com/plotly/plotly.js; https://github.com/ropensci/plotly↩