Description Usage Arguments Value Examples
Note that these variables must exist in the data.
1 | permDifCor(dat, vars, group, perms = 1000)
|
dat |
data frame |
vars |
vector with the names of the dependent variables. |
group |
dichotomous variable that indicates the two groups to be compared |
perms |
number of permutations. |
Estimate of difference between groups wrt correlation based network connectivity with p value based on permutations. The p-values for differences of all individual correlations and of summaries are given. Also p-values for the differences of the centrality measures outDegree and closeness and betweenness are given.
1 2 3 | data("gratitude")
vars <- c("pa_1","pa_2","pa_3","na_1","na_2","na_3")
out <- permDifCor(dat=gratitude,vars=vars, group="wellBeing", perms = 10)
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