Gives the top "x" most downloaded packages.

most_downloaded_packages(dataset, n = 6L, ...)

Arguments

dataset

a dataset output from running read_RStudio_CRAN_data, after going through format_RStudio_CRAN_data.

n

the number of top packages to show.

...

not in use.

Source

https://www.nicebread.de/finally-tracking-cran-packages-downloads/

Value

a table of top packages by downloads (a numeric vector with packages as names)

Details

RStudio maintains its own CRAN mirror, https://cran.rstudio.com/ and offers its log files.

See also

Examples

if (FALSE) { # The first two functions might take a good deal of time to run (depending on the date range) RStudio_CRAN_data_folder <- download_RStudio_CRAN_data(START = '2013-04-02', END = '2013-04-05') # around the time R 3.0.0 was released my_RStudio_CRAN_data <- read_RStudio_CRAN_data(RStudio_CRAN_data_folder) my_RStudio_CRAN_data <- format_RStudio_CRAN_data(my_RStudio_CRAN_data) head(my_RStudio_CRAN_data) most_downloaded_packages(my_RStudio_CRAN_data) top_packages <- names(most_downloaded_packages(my_RStudio_CRAN_data)) lineplot_package_downloads(pkg_names = top_packages, dataset = my_RStudio_CRAN_data) }