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Note that there are a few name conflicts it is alerting you that we’ll be using two functions from dplyr instead of the built-in stats package. When you do this, it will tell you which packages are inside of tidyverse that have also been installed. Library(tidyverse) # do this every time you restart R and need it #R studio ggplot install#We will install tidyverse now, and use a few functions from the packages within. We are going to be using the package ggplot2, which is actually bundled into a huge package called tidyverse. You don’t need to go to CRAN’s website to install packages, we can do it from within R with the command install.packages("package-name-in-quotes"). You can also install packages directly from GitHub, which we’ll do tomorrow. #R studio ggplot download#This is where you went to download R originally, and will go again to look for updates. #R studio ggplot archive#The most traditional place to download packages is from CRAN, the Comprehensive R Archive Network. You can also download and install packages created by the vast and growing R user community. These can be considered out-of-the-box packages and include things such as sum and mean. So far we’ve been using packages that are already included in base R. Packages are bundles of functions, along with help pages and other goodies that make them easier for others to use, (ie.
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