Using purrr to build a data frame of vectors (eg., from effect size statistics)

I just tried to accomplish the following with R: Compute effect sizes for a variable between two groups. Actually, not one numeric variable but many. And compute not only one measure of effect size but several (d, lower/upper CI, CLES,…). So how to do that? First, let’s load some data and some (tidyverse and effect size) packages: knitr::opts_chunk$set(echo = TRUE, cache = FALSE, message = FALSE) library(purrr) library(ggplot2) library(dplyr) library(broom) library(tibble) …