psych (version 1.6.12)

count.pairwise: Count number of pairwise cases for a data set with missing (NA) data.

Description

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.

Usage

count.pairwise(x, y = NULL,diagonal=TRUE) pairwiseDescribe(x,diagonal=FALSE,...)

Arguments

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

Value

Examples

Run this code
## 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)

    

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