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An optimized, efficient implemntation for computing the pearson correlation.
pcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)tpcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)
tpcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)
A numeric dataframe/matrix or vector.
A vector (when x is a vector) or missing (blank) when x is a matrix.
x
The NA handler, as in R's cov() and cor() functions. Options are "everything", "all.obs", and "complete.obs".
cov()
cor()
Logical; if TRUE then the method used is slower but uses less memory than if FALSE. See ?coop-package for details.
TRUE
FALSE
?coop-package
Logical; should the inverse covariance matrix be returned?
The pearson correlation matrix.
See ?coop for implementation details.
?coop
cosine
# NOT RUN { x <- matrix(rnorm(10*3), 10, 3) coop::pcor(x) coop::pcor(x[, 1], x[, 2]) # }
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