The Data Visualisation and Graphics for communication chapters in R for Data Science. Currently, there are three good places to start: By participating in this project you agree to abide by its terms.If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Please note that this project is released with a Contributor Code of Conduct. You can see the most recent changes to the package in the NEWS.md file: compose a friendly e-mail to: functions are:.
submit suggestions and bug-reports at:.) :Įrror in file(con, "r") : cannot open the connection If you get either of the following errors from some commands: Error in download.file(URL, destfile =. Installr() # user can easily select (via a GUI interface) a software to install. Or install a new software simply by running: library("installr") # updateR(TRUE) # this will use common defaults and will be the safest/fastest option UpdateR() # this will open dialog boxes to take you through the steps. If you are using the Rgui, you will see a new menu added on your top right (just by "help"), giving you the option to update R, or install new software.įor command line use you can update R by running: if(!require("installr")) install.packages('installr') Remotes::install_github('talgalili/installr') Usage To install the latest installr version from GitHub use: if (!require('remotes')) install.packages('remotes') # make sure you have Rtools installed first! if not, then run:
To install the stable version on CRAN: install.packages('installr') All of these steps are automatically done using functions in this package. While for Linux users, the installation process of new software may be just running a short line of code, for the regular Windows user it often includes browsing online, finding the latest version, downloading it, running the installer, and deleting the installation file.
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