# nPairs

0th

Percentile

##### Number of variable pairs

nPairs counts the number of pairs between variables.

Keywords
misc
##### Usage
nPairs(x, margin=FALSE, names=TRUE, abbrev=TRUE, ...)
##### Arguments
x

data.frame or a matrix

margin

logical, calculate the cumulative number of “pairs”

names

logical, add row/col-names to the output

abbrev

logical, abbreviate names

other arguments passed to abbreviate

##### Details

The class of returned matrix is nPairs and matrix. There is a summary method, which shows the opposite information - counts how many times each variable is known, while the other variable of a pair is not. See examples.

##### Value

Matrix of order $k$, where $k$ is the number of columns in x. Values in a matrix represent the number of pairs between columns/variables in x. If margin=TRUE, the number of columns is $k+1$ and the last column represents the cumulative number of pairing all variables.

abbreviate

• nPairs
##### Examples

## Test data
test <- data.frame(V1=c(1, 2, 3, 4, 5),
V2=c(NA, 2, 3, 4, 5),
V3=c(1, NA, NA, NA, NA),
V4=c(1, 2, 3, NA, NA))

## Number of variable pairs
nPairs(x=test)

## Without names
nPairs(x=test, names=FALSE)

## Longer names
colnames(test) <- c("Variable1", "Variable2", "Variable3", "Variable4")
nPairs(x=test)

## Margin
nPairs(x=test, margin=TRUE)

## Summary
summary(object=nPairs(x=test))

Documentation reproduced from package gdata, version 2.18.0, License: GPL-2

### Community examples

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