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

Standardize / Normalize / Z-score / Scale

The standardize() function allows you to easily scale and center all numeric variables of a dataframe. It is similar to the base function scale(), but presents some advantages: it is tidyverse-friendly, data-type friendly (i.e., does not transform it into a matrix) and can handle dataframes with categorical data.

library(psycho)
library(tidyverse)

z_iris <- iris %>% 
  psycho::standardize() 

summary(z_iris)

But beware, standardization does not change (and "normalize") the distribution!

z_iris %>% 
  dplyr::select(-Species) %>% 
  gather(Variable, Value) %>% 
  ggplot(aes(x=Value, fill=Variable)) +
      geom_density(alpha=0.5) +
      geom_vline(aes(xintercept=0)) +
      theme_bw() +
      scale_fill_brewer(palette="Spectral")

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