Read this blog to learn how to perform your first multiple linear regression in R with clear explanations and step-by-step coding examples. This tutorial simplifies statistical modeling, helping you ...

The discovr package contains resources for my 2026 textbook Discovering Statistics Using and . There are tutorials written using learnr. Once a tutorial is running it’s a bit like reading a book but ...

The identification and visualization of functional elements within biological sequences offers visual presentation for biologists to integrate annotation, and also helps them to produce high-quality ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Although there are many measures of variability for qualitative variables, they are little used in social research, nor are they included in statistical software. The aim of this article is to present ...

This tutorial illustrates how to read spatial data (i.e., a raster) from a netCDF file and import it into R for plotting and analysis. # Install and Load Packages In addition to the built-in ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

The analysis of spatial point patterns has greatly advanced our understanding of ecological processes. However, the methods currently available for analyzing replicated spatial point patterns (RSPPs) ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

A new R package creates a simple graphical user interface for ggplot2—and it generates R code for the visualization you create Some R users become leery of graphical user interfaces. Pointing and ...