installr (version 0.17.8)

barplot_package_users_per_day: barplot for the number of users installation of a package

Description

This function is a first template for creating a barplot of the number of downloads a package had in a time period. This function is based on some other functions, have a look at the example for more details.

Usage

barplot_package_users_per_day(pkg_name, dataset, remove_dups = TRUE, ...)

Arguments

pkg_name

a string of the package we are interested in checking.

dataset

a dataset output from running read_RStudio_CRAN_data.

remove_dups

default is TRUE. Should the duplicate user ids (based on their ips) be removed. If TRUE, then the plot is the number of unique users who have downloaded our package everyday.

...

not in use.

Value

Returns the total number of downloads of the package for that time period.

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

Examples

## 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)