kappa2N {GeneTS} | R Documentation |
The degree of freedom kappa of the sample distribution of the correlation
coefficient depends both on the sample size N and the number G of investigated variables,
i.e. whether simple or partial correlation coefficients are being considered.
For G=2 (simple correlation coefficient) the degree of freedom equals kappa = N-1,
whereas for arbitrary G (with G-2 variables eliminated in the partial correlation coefficient)
kappa = N-G+1 (see also dcor0
).
The function kappa2N
returns the sample size that
corresponds to a given degree of freedom kappa, whereas N2kappa
converts sample size to the corresponding degree of freedom.
kappa2N(kappa, G=2) N2kappa(N, G=2)
kappa |
degree of freedom |
G |
number of variables (G=2 corresponds to simple correlation) |
N |
sample size |
The sample size N corresponding to a given kappa, or the degree of freedom kappa corresponding to a given N.
Juliane Schaefer (http://www.stat.uni-muenchen.de/~schaefer/) and Korbinian Strimmer (http://www.stat.uni-muenchen.de/~strimmer/).
# load GeneTS library library(GeneTS) # sample sizes corresponding to kappa=7 kappa2N(7) # simple correlation kappa2N(7, 40) # partial correlation with 40 variables # degree of freedom corresponding to N=100 N2kappa(100) N2kappa(100,40)