coop (version 0.6-2)

pcor: Pearson Correlation

Description

An optimized, efficient implemntation for computing the pearson correlation.

Usage

pcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)
tpcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)

Arguments

x

A numeric dataframe/matrix or vector.

y

A vector (when x is a vector) or missing (blank) when x is a matrix.

use

The NA handler, as in R's cov() and cor() functions. Options are "everything", "all.obs", and "complete.obs".

inplace

Logical; if TRUE then the method used is slower but uses less memory than if FALSE. See ?coop-package for details.

inverse

Logical; should the inverse covariance matrix be returned?

Value

The pearson correlation matrix.

Details

See ?coop for implementation details.

See Also

cosine

Examples

# NOT RUN {
x <- matrix(rnorm(10*3), 10, 3)

coop::pcor(x)
coop::pcor(x[, 1], x[, 2])

# }

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