I'm curious about the most tweeted about #rstats packages in the past ~week, let's explore this using R! 🧵
I'm going to use these packages:
*️⃣ tidyverse
*️⃣ rtweet
*️⃣ rvest
*️⃣ tidytext
you can install them with:
install.packages(c("tidyverse", "rtweet", "rvest", "tidytext"))
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First, let's get a vector of all #rstats packages on CRAN!
library(rvest)
r_pkgs <- read_html('cloud.r-project.org/web/pack…') %>%
html_nodes('td:nth-child(1)') %>%
html_text()
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Easier:
r_pkgs <- rownames(available.packages())
Oct 13, 2021 · 6:06 PM UTC
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