psych (version 1.8.4)

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

result = matrix of counts of pairwise observations

Examples

# 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))
# }
# NOT RUN {
    
# }