pcor {ggm} | R Documentation |
Partial correlation
Description
Computes the partial correlation between two variables given a set of other variables.
Usage
pcor(u, S)
Arguments
u |
a vector of integers of length > 1. The first two integers are the indices of variables the correlation of which must be computed. The rest of the vector is the conditioning set. |
S |
a symmetric positive definite matrix, a sample covariance matrix. |
Value
a scalar, the partial correlation matrix between variables u[1]
and u[2]
given u[-c(1,2)]
.
Author(s)
Giovanni M. Marchetti
See Also
Examples
data(marks)
## The correlation between vectors and algebra given analysis and statistics
pcor(c("vectors", "algebra", "analysis", "statistics"), var(marks))
## The same
pcor(c(2,3,4,5), var(marks))
## The correlation between vectors and algebra given statistics
pcor(c("vectors", "algebra", "statistics"), var(marks))
## The marginal correlation between analysis and statistics
pcor(c("analysis","statistics"), var(marks))
[Package ggm version 2.5.1 Index]