Data Analysis

R for Psychology Toolkit

Copy-paste R code for every common psychology analysis — with interpretation prompts

R ggplot2 ANOVA lavaan APA statistics

¥29.99

501 researchers installed this

4.5(2)

About this skill

What it does

A complete prompt pack for running and interpreting psychological data analyses in R, with ready-to-run code snippets.

Analyses Included

Descriptives & Assumption Checks

Normality tests (Shapiro-Wilk, Q-Q plots)
Levene's test for homogeneity
Outlier detection and handling

Inferential Statistics

Independent and paired t-tests
One-way and factorial ANOVA (with post-hocs)
Repeated measures ANOVA (ez, afex packages)
ANCOVA
Linear, logistic, and multilevel regression
Mediation and moderation (mediation, lavaan packages)

Reliability & Validity

Cronbach's alpha and McDonald's omega
Confirmatory Factor Analysis (lavaan)
Measurement invariance testing

Visualization

APA-style ggplot2 themes
Raincloud plots
Correlation matrices

Format

Each prompt takes your variable names and returns runnable R code + APA-formatted write-up.

What researchers say

4.5(2)

刘浩华南师大应用心理学博士生 · SCNU Applied Psychology PhD

从SPSS转到R的过渡期里，这个技能直接生成了我需要的lavaan结构方程模型代码和ggplot2可视化脚本。原本要参考三本教材的分析，一个下午就搞定了。

陈思雨香港中文大学博士后 · CUHK Postdoc, Education Policy

The lavaan and lme4 code templates are excellent, and APA-formatted output is very useful for manuscripts. Would benefit from more examples with complex survey data and weighted analyses.