We’ll see any objects we created, such as result, under values in the Environment tab. In RStudio, we can see the objects in our global environment in the Environment tab at the top right of the interface: During a programming session in R, any variables we define, or data we import and save in a dataframe, are stored in our global environment. We can think of the global environment as our workspace. We’ll discuss the environment and how to view objects stored in the environment in the next section. When we create a variable in RStudio, it saves it as an object in the R global environment. Scroll down, and try typing a few expressions like this one. When we open RStudio, the console contains information about the version of R we’re working with. Notice that the window pane where the console is located contains three tabs: Console, Terminal and Jobs (this may vary depending on the version of RStudio in use). The Console is a tab in RStudio where we can run R code. Let’s start off by introducing some features of the Console. To open RStudio, search for RStudio on the desktop, and pin the RStudio icon to the preferred location (e.g. Desktop or toolbar). A common mistake by new users is to open R instead of RStudio. When we open RStudio, R is launched as well. Check out this Dataquest blog to learn how to customize the appearance of RStudio. When we open RStudio for the first time, we’ll probably see a layout like this:īut the background color will be white, so don’t expect to see this blue-colored background the first time RStudio is launched. If we want to download RStudio for another operating system (other than the one we are running), navigate down to the “All installers” section of the page. Our operating system is usually detected automatically and so we can directly download the correct version for our computer by clicking the “Download RStudio” button. When we reach the RStudio downloads page, let’s click the “Download” button of the RStudio Desktop Open Source License Free option: Now that R is installed, we can install RStudio. Installing R separately from RStudio enables the user to select the version of R that fits their needs. RStudio is compatible with many versions of R (R version 3.0.1 or newer as of July, 2020). ![]()
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