Pair wise cor.test based on combinations of variables

[Yarnabrina]

You can also use corr.test from psych package. See my answer here:

working with correlations

cor.test can't be applied on a data.frame or a matrix. See this SO thread. Following the aforementioned thread's accepted answer, here's a solution using corr.test function from psych package: library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union library(psych) complete_dataset <- read.csv(file = 'https://raw.githubusercontent.com/BrainStormCenter/ASQ_pilot/master/ASQ_pilot_raw_2019_04_17.csv') small_subset <- complete_dataset %>% # as far as I can see, there's not a single participant with "other" as Group3 …