Format the RStudio CRAN mirror data into the data.table format

This function makes sure the the RStudio CRAN mirror data object has correct classes for the columns date, package, country. It also adds the columns weekday and week. Lastly, it also sets a key.

format_RStudio_CRAN_data(dataset, ...)

Arguments

dataset	the RStudio CRAN mirror data object
...	not in use.

Source

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

Value

Returns the re-formated data object.

Details

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

See also

download_RStudio_CRAN_data, read_RStudio_CRAN_data,barplot_package_users_per_day

Author

Felix Schonbrodt, Tal Galili

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)
lineplot_package_downloads(pkg_names = c("ggplot2", "reshape", "plyr", "installr"),
                           dataset = my_RStudio_CRAN_data)

# older plots:
# barplots: (more functions can easily be added in the future)
barplot_package_users_per_day("installr", my_RStudio_CRAN_data)
barplot_package_users_per_day("plyr", my_RStudio_CRAN_data)
}