rstudio exercises

Download the .zip file for the test project from https://github.com/krlmlr/vistransrep-proj/tree/2018-12-zhr, green button “Clone or download”.

Extract the .zip file to your disk.

Locate and open the file R-workshop.Rproj.

Open the file 01-hello.R in the scripts directory. Run it line by line by positioning the blinking cursor (caret) in the first line and pressing Ctrl + Enter (on the Mac: Cmd + Enter). Also, run it completely (press Ctrl + Shift + Enter, on the Mac: Cmd + Shift + Enter).

Open the file 02-calc.R. Run it line by line.

Practice the “clean slate”: Activate the console (Ctrl + 2, on the Mac Cmd + 2), press Esc twice, click the broom in the upper right corner of the console (or press Ctrl + L, also on the Mac). Make sure that the console shows a single blue > only.

Open the file 03-incomplete.R in the scripts directory. Run it completely (click the “Source” button, or press Ctrl + Shift + Enter). Can you see the problem?

Hint: Apply the “clean slate” practiced before.

From a “clean slate”, run the first line in 03-incomplete.R. How do you return to a state where R accepts your commands again?

Edit the file so that it can be run completely.

Open the file 04-error.R in the scripts directory. Run the first line of the script. Can you interpret the error?

Hint: Apply the “clean slate” practiced before.

Open the file 05-multiline.R. Position the blinking cursor (caret) on the second line of the script, press Ctrl + Enter (on the Mac, Cmd + Enter). Can you give an interpretation for the observed behavior?

Open the file 06-premature.R. Run it line by line or completely. Can you give an interpretation for the observed behavior?

Open and run the script 07-help.R.

• mpg
• geom_boxplot()
• near()

Hint: Position the caret on the name you want to look up the help for, and press F1.

Look up the help for the %/% operator.

Hint: Type help("%/%") in your script and run the line with Ctrl + Enter (on the Mac, Cmd + Enter)

Visit https://rdrr.io or https://rdocumentation.org, search for functions and objects from this exercise.

Use the search term geom_boxplot site:tidyverse.org in a search engine.

Choose “File → New file → R script” to create a new script.

Save it in the scripts directory, pick a file name (recommended: 08-new). The extension .R will be added automatically.

Add code to load the tidyverse package on the first line. Save the script.