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Mastering R Scripts

Working with R scripts is remarkably straightforward. Whether you prefer a basic text editor or RStudio, the premier IDE for R, creating an R script is accessible to all.

Using RStudio

RStudio simplifies the process, offering a seamless and intuitive platform for your R scripting needs.

Initiate a new script by selecting File > New File > R Script.

Your scripting journey begins in the upper left quadrant of the interface.

Navigate: File, New File, R Script

Efficiently Saving Your Script

Regularly save your progress. Access the File menu, choose Save As to name your file, or simply hit Save to update an existing script.

A quick alternative is the floppy disk icon in the toolbar for instant saves.

Use the floppy disk icon for quick save

R scripts, saved in your working directory, typically bear the .R extension.

Once saved, your script is primed for execution.

Executing Your Script in RStudio

RStudio provides versatile execution options.

For the full script, click Source in the script editor's toolbar.

RStudio Source Option

To run specific segments, highlight them and press Ctrl + Enter (Windows/Linux) or Cmd + Enter (Mac).

Results are displayed promptly in the lower-left Console pane.

The Standard R Console

For a more basic approach, the R console offers a straightforward command-line experience.

Compose your R script in any text editor, saving it with the .R extension.

Script editing in a standard text editor

Ensure your script is saved as a .R file on your computer.

To execute in the R console, use the source() command.

For a script named my_script.R in your working directory, type source("my_script.R") in the console.

source("my_script.R")

Watch the console for your script's output.

Hello World!

Encounter an issue? Review error messages carefully—they're key to identifying potential missteps.

One common hiccup is a mismatch between the script's save location and the R working directory.

To align them, adjust your working directory with:

setwd("your_directory_path")

As you hone your skills, managing and troubleshooting R scripts will become second nature.




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