Usage
cortest.normal(R1, R2 = NULL, n1 = NULL, n2 = NULL, fisher = TRUE)
cortest(R1,R2=NULL,n1=NULL,n2 = NULL, fisher = TRUE,cor=TRUE) #same as cortest.normal
cortest.mat(R1,R2=NULL,n1=NULL,n2 = NULL)
cortest.jennrich(R1,R2,n1=NULL, n2=NULL)
Arguments
R1
A correlation matrix. (If R1 is not rectangular, and cor=TRUE, the correlations are found).
R2
A correlation matrix. If R2 is not rectangular, and cor=TRUE, the correlations are found. If R2 is NULL, then the test is just whether R1 is an identity matrix.
fisher
Fisher z transform the correlations?
cor
By default, if the input matrices are not symmetric, they are converted to correlation matrices. That is, they are treated as if they were the raw data. If cor=FALSE, then the input matrices are taken to be correlation matrices.