Cor.test()
takes vectors x
and y
as arguments, but I have an entire matrix of data that I want to test, pairwise. Cor()
t
"The accepted solution (corr.test
function in the psych package) works, but is extremely slow for large matrices."
If you use ci=FALSE
, then the speed is much faster.
By default, confidence intervals are found. However, this leads to a slight slowdown of speed. So, for just the rs
, ts
and ps
, set ci=FALSE
.