Six Reasons to Consider Using R in Psychological Research

preprint OA: closed
View at publisher

Abstract

The R Statistical Environment is becoming increasingly accessible to non-statistician researchers. This provides an opportunity for many researchers in psychology to consider adopting R in their work. Herein is presented six reasons for why R should not be overlooked by researchers in psychology: 1) R is free and open-source; 2) R has many packages built for common descriptive and statistical analyses in the psychological sciences; 3) the R community is supportive and have freely provided many useful resources, for beginners and advanced users alike; 4) R is becoming increasingly popular in psychology already, making it easier to collaborate using the software; 5) analyses in R can be highly reproducible with features like R Markdown and knitr, simplifying the process to provide open science; and 6) the R language has improved in diverse ways, making common data wrangling tasks fast, dependable, and highly replicable. These reasons are presented with their corresponding limitations.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00