cov: Covariance matrix This function is more limited than R's...

In Paradigm4/SciDBR: An R Interface to SciDB

Covariance matrix This function is more limited than R's default cov function. It can only compute a covariance matrix from a data matrix without any missing value handling by the procedure (in R notation) S0 <- sweep(x, 2, colMeans(x)), crossprod(S0)/(nrow(S0) - 1) # (covariance matrix result)

Description

Covariance matrix This function is more limited than R's default cov function. It can only compute a covariance matrix from a data matrix without any missing value handling by the procedure (in R notation) S0 <- sweep(x, 2, colMeans(x)), crossprod(S0)/(nrow(S0) - 1) # (covariance matrix result)

Usage

## S4 method for signature 'scidb'
cov(x, y = NULL, use = "everything", method = c("pearson", "kendall", "spearman"))

Arguments

x	a 2-d scidb array with a single numeric attribute
y	UNUSED, limited to correlation matrix in the SciDB case
use	UNUSED, limited to "everything" in the SciDB case
method	UNUSED, limited to "pearson" in the SciDB case

Value

covariance matrix of x (as a SciDB array)

Paradigm4/SciDBR documentation built on Nov. 9, 2023, 4:58 a.m.