pcor function

(Semi-)Partial correlation

Computes the (semi-)partial correlation of x and y, controlling for z.

pcor(x, y, z, semi = FALSE, use = "complete.obs", method = c("pearson",
  "spearman"))

Arguments

• x: a numeric vector.
• y: a numeric vector.
• z: a numeric vector, matrix, data frame or list giving the controlling variables. For matrices, variables must be placed in columns.
• semi: logical. If TRUE the semi-partial correlation coefficient is computed. In that case only y is controlled for z.
• use: same as use of cor.
• method: same as method of cor.

Author(s)

Maxime HERVE maxime.herve@univ-rennes1.fr

See Also

pcor.test for confidence intervals (and tests).

Examples

set.seed(1444)
x <- 1:30
y <- 1:30+rnorm(30,0,2)
z1 <- runif(30,0,4)
z2 <- 30:1+rnorm(30,0,3)
pcor(x,y,z1)
pcor(x,y,list(z1,z2))