Category

Technologies

# R Programming Tutorial

In our R tutorials, you'll find helpful tips and use cases to grow your programming skills. We'll keep you up to date with the latest techniques.

Other technologies:

Featured

## How to Do Linear Regression in R

Learn linear regression, a statistical model that analyzes the relationship between variables. Follow our step-by-step guide to learn the lm() function in R.

Eladio Montero Porras

July 29, 2024

## Principal Component Analysis in R Tutorial

In this tutorial, you'll learn how to use R PCA (Principal Component Analysis) to extract data with many variables and create visualizations to display that data.

Zoumana Keita

February 13, 2023

## How to Import Data Into R: A Tutorial

Find out how to import data into R, including CSV, JSON, Excel, HTML, databases, SAS, SPSS, Matlab, and other files using the popular R packages.

Abid Ali Awan

January 23, 2023

All posts

## Chi-Square Test in R: A Complete Guide

Learn how to create a contingency table and perform chi-square tests in R using the chisq.test() function. Discover practical applications and interpret results with confidence.

Arunn Thevapalan

August 29, 2024

## QR Decomposition in Machine Learning: A Detailed Guide

Learn about QR decomposition, the matrix factorization technique that decomposes matrix A into the product of an orthogonal matrix Q and an upper triangular matrix R.

Josef Waples

August 9, 2024

## How to Use na.rm to Handle Missing Values in R

We set na.rm = TRUE in common R functions to exclude missing (NA) values. This helps us compute accurate statistics and enhances the reliability of our results.

Vidhi Chugh

July 3, 2024

## How to Fix the Non-Numeric Argument to Binary Operator Error in R

The non-numeric argument to binary operator error in R happens when you try to do arithmetic on non-numeric data, like a character string or factor.

Austin Chia

June 7, 2024

## Mastering Data Structures in the R Programming Language

Read our comprehensive guide on how to work with data structures in R programming: vectors, lists, arrays, matrices, factors, and data frames.

Vikash Singh

May 23, 2024

## How to Transpose a Matrix in R: A Quick Tutorial

Learn three methods to transpose a matrix in R in this quick tutorial

Adel Nehme

April 12, 2024

## Sorting Data in R

How to sort a data frame in R.

DataCamp Team

April 10, 2024

## Scatterplot in R

Learn how to create a scatterplot in R. The basic function is plot(x, y), where x and y are numeric vectors denoting the (x,y) points to plot.

DataCamp Team

March 31, 2024

## Operators in R

Learn how to use arithmetic and logical operators in R. These binary operators work on vectors, matrices, and scalars.

DataCamp Team

March 3, 2024

## Merging Data in R

Merging data is a common task in data analysis, especially when working with large datasets. The merge function in R is a powerful tool that allows you to combine two or more datasets based on shared variables.

DataCamp Team

February 29, 2024

## Axes and labels in R

Improve your graphs in R with titles, text annotations, labelling of points, minor tick marks, reference lines, custom axes, and a chart legend.

DataCamp Team

February 21, 2024

## Combining Plots

Learn how to combining multiple plots in R into one graph with either the par() or layout() functions. This page includes coding examples.

DataCamp Team

January 29, 2024