Function calculates partial correlations between the provided variables
Usage
pcor(x, y = NULL, use = c("na.or.complete", "complete.obs", "everything",
"all.obs"), method = c("pearson", "spearman", "kendall"))
Arguments
x
Either data.frame or a matrix with numeric values.
y
The numerical variable.
use
What observations to use. See cor function for details.
The only option that is not available here is "pairwise.complete.obs".
method
Which method to use for the calculation of the partial correlations.
This can be either Pearson's, Spearman's or Kendall's coefficient. See cor
for details.
Value
The following list of values is returned:
value - Matrix of the coefficients of partial correlations;
p.value - The p-values for the parameters;
method - The method used in the calculations.
Details
The calculation is done based on multiple linear regressions. The function calculates
them for each pair of variables based on the residuals of linear models of those
variables from the other variables in the dataset.