count.pairwise {psych} | R Documentation |
When doing cor(x, use= "pairwise"), it is nice to know the number of cases for each pairwise correlation. This is particularly useful when doing SAPA type analyses.
count.pairwise(x, y = NULL,diagonal=TRUE) pairwiseDescribe(x,diagonal=FALSE,...)
x |
An input matrix, typically a data matrix ready to be correlated. |
y |
An optional second input matrix |
diagonal |
if TRUE, then report the diagonal, else fill the diagonals with NA |
... |
Other parameters to pass to describe |
result = matrix of counts of pairwise observations
Maintainer: William Revelle revelle@northwestern.edu
## Not run: x <- matrix(rnorm(1000),ncol=6) y <- matrix(rnorm(500),ncol=3) x[x < 0] <- NA y[y > 1] <- NA count.pairwise(x) count.pairwise(y) count.pairwise(x,y) count.pairwise(x,diagonal=FALSE) pairwiseDescribe(x,quant=c(.1,.25,.5,.75,.9)) ## End(Not run)