R: Count number of pairwise cases for a data set with missing...

count.pairwise {psych} | R Documentation

## 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

### Author(s)

Maintainer: William Revelle revelle@northwestern.edu

### 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))

    ## End(Not run)

[Package psych version 1.7.8 Index]