cnonct {multiCA} | R Documentation |
Non-centrality parameter for chi-square distribution
Description
Calculates the non-centrality parameter for a chi-square distribution for a given quantile. This is often needed for sample size calculation for chi-square based tests.
Usage
cnonct(x, p, df)
Arguments
x |
a numeric value at which the distribution was evaluated |
p |
a numeric value giving the cumulative probability at |
df |
an integer giving the degrees of freedom of the chi-square variable |
Details
The function is modeled after the SAS function CNONCT. If p
is larger
than the cumulative probability of the central chi-square distribution at x
, then
there is no solution and NA is returned.
Examples
(ncp <- cnonct(qchisq(0.95, df=10), 0.8, df=10))
## check
pchisq(qchisq(0.95, df=10), df=10, ncp=ncp) ## 0.8
[Package multiCA version 1.1 Index]