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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.
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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