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

## What is Bootstrapping in Statistics? A Deep Dive

Explore how bootstrapping improves the estimation of confidence intervals and standard errors. Learn to distinguish between parametric and non-parametric bootstrapping techniques, and learn about bootstrapping in time series forecasting.

Josef Waples

September 23, 2024

## Eigenvectors and Eigenvalues: Key Insights for Data Science

Eigenvectors and eigenvalues are essential for understanding linear transformations. This article covers their geometric interpretation, mathematical calculation, and importance in machine learning.

Islam Salahuddin

September 17, 2024

## 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