R Programming Tutorial

How to sort a data frame 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.

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

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.

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

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

Learn what R Markdown is, what it's used for, how to install it, what capacities it provides for working with code, text, and plots, what syntax it uses, what output formats it supports, and how to render and publish R Markdown documents.

Learn coding best practices to improve your programming skills. Explore coding guidelines for collaboration, code structure, efficiency, and more.

Learn how to use ggplot2 in R to create compelling visualizations of climate change data. This step-by-step tutorial teaches you to find, analyze, and visualize historical weather data.

Uncover the intricacies of non-linear models in comparison to linear models. Learn about their applications, limitations, and how to fit them using real-world data sets.

Delve into K-Nearest Neighbors (KNN) classification with R. Learn how to use 'class' and 'caret' R packages, tune hyperparameters, and evaluate model performance.

Determine if there is a significant difference between the means of the two groups using t.test() in R.