format_RStudio_CRAN_data: Format the RStudio CRAN mirror data into the data.table...

Description Usage Arguments Details Value Author(s) Source See Also Examples

View source: R/RStudio_CRAN_data.R

Description

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.

Usage

1

Arguments

dataset

the RStudio CRAN mirror data object

...

not in use.

Details

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

Value

Returns the re-formated data object.

Author(s)

Felix Schonbrodt, Tal Galili

Source

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

See Also

download_RStudio_CRAN_data, read_RStudio_CRAN_data,barplot_package_users_per_day

Examples

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## Not run: 
# 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)

## End(Not run)

installr documentation built on May 9, 2021, 1:09 a.m.