parcor_ijkOLD {generalCorr} | R Documentation |
Generalized partial correlation coefficient between Xi and Xj after removing the effect of all others. (older version, deprecated)
Description
This function uses a generalized correlation matrix R* as input to compute
generalized partial correlations between and
where j can be any one of the remaining
variables. Computation removes the effect of all other variables in the matrix.
The user is encouraged to remove all known irrelevant rows and columns
from the R* matrix before submitting it to this function.
Usage
parcor_ijkOLD(x, i, j)
Arguments
x |
Input a p by p matrix R* of generalized correlation coefficients. |
i |
A column number identifying the first variable. |
j |
A column number identifying the second variable. |
Value
ouij |
Partial correlation Xi with Xj (=cause) after removing all other X's |
ouji |
Partial correlation Xj with Xi (=cause) after removing all other X's |
myk |
A list of column numbers whose effect has been removed |
Note
This function calls minor
, and cofactor
and is called
by parcor_ridge
.
Examples
## Not run:
set.seed(34);x=matrix(sample(1:600)[1:99],ncol=3)
colnames(x)=c('V1', 'v2', 'V3')
gm1=gmcmtx0(x)
parcor_ijkOLD(gm1, 2,3)
## End(Not run)#'