In neuropsychology/psycho.R: Efficient and Publishing-Oriented Workflow for Psychological Science

library(knitr)

Interested in quicky creating formatted tables and plots for factor analysis?

The data

library(tidyverse)
library(psycho)
library(psych)


df <- psych::bfi %>%
  select(-gender, -education, -age) %>%
  na.omit() %>%
  mutate_all(as.numeric)

psycho::n_factors(df)

The Method Agreement Procedure suggests to retain 5 factors.

Do the EFA

fa <- psych::fa(df, nfactors=5)
results <- analyze(fa)

Loadings Table

summary(results)

knitr::kable(summary(results), digits=2)

Running a summary on the analyzed fa object returns a dataframe, which is convenient to save, manipulate or enjoy.

Loadings Plot

plot(results)

Lavaan-ready Model for CFA

print(results)

analyze(fa, treshold=0.2)

Contribute

psycho is a young package in need of affection. Therefore, if you have any advices, opinions or such, we encourage you to either let us know by opening an issue, or by contributing to the code.

Credits

This package helped you? Don't forget to cite the various packages you used :)

You can cite psycho as follows:

• Makowski, (2018). The psycho Package: An Efficient and Publishing-Oriented Workflow for Psychological Science. Journal of Open Source Software, 3(22), 470. https://doi.org/10.21105/joss.00470

Previous blogposts

• APA Formatted Bayesian Correlation
• Fancy Plot (with Posterior Samples) for Bayesian Regressions
• How Many Factors to Retain in Factor Analysis
• Beautiful and Powerful Correlation Tables
• Format and Interpret Linear Mixed Models
• How to do Repeated Measures ANOVAs
• Standardize (Z-score) a dataframe
• Compute Signal Detection Theory Indices

neuropsychology/psycho.R documentation built on Jan. 25, 2021, 7:59 a.m.