- R Introduction
- Getting Started R
- Data Management
- Data Visualization
- One-Sample Tests
- Two-Samples Tests with Categorical Variables
- Two-Sample Tests with Numeric Variables
- Linear Regression
- Logistic Regression

## Statistics Support

The Stats-TA position has been suspended for the 2023/2024 academic year. We recommend the following campus resources for statistics and math support:

## Need help? Contact us

**Phone: 801-581-6273
Email
In-Person
Schedule a Research Consultation
More Subject Guides**

## What is R & RStudio?

## Installing R & RStudio

## Getting Started

## R Packages

An R package contains a collection of functions and datasets developed by the community. These packages can be downloaded and directly used by calling their specific function or dataset names.

#### How to Install an R Package

`install.packages("packagename")`

Upon successful download, type the following line:

`library(packagename)`

If you are confused about what a package does, you can use `help(package = "<package_name>")`

to get more information. To understand what a function does, you can use `help("<function_name>")`

or type `?<function_name>`

or `?<package_name>`

to open the "Help" window and see the R Documentation description for the package or function.

## Importing Data

#### Importing

To import an Excel file in .xlsx or .xls format, download the "readxl" package and use the `read_excel`

function.

To import Stata (.dta), SPSS (.sav), and SAS (.xport) files, download the "haven" package. Use the `read_dta`

function for Stata, `read_spss`

function for SPSS, and `read_xpt`

function for SAS, respectively.

## Exporting Data

- Last Updated: Jan 10, 2024 8:19 AM
- URL: https://campusguides.lib.utah.edu/r-programming
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