--- these are DEPRECATED, use Xchisq( . , df, ncp) instead --- dnchisq(x, df, lambda) pnchisq(q, df, lambda) qnchisq(p, df, lambda) rnchisq(n, df, lambda)
x,q
| vector of quantiles. |
p
| vector of probabilities. |
n
| number of observations to generate. |
df,lambda
| degrees of freedom and non-centrality parameter. |
These functions provide information about the non-central chi-square
distribution with df degrees of freedom and non-centrality
parameter lambda. dnchisq gives the density,
pnchisq gives the distribution function, qnchisq gives
the quantile function and rnchisq generates random deviates.
The non-central chi-square distribution with df degrees of freedom and non-centrality parameter &lambda has density
f(x) = exp(-lambda/2) SUM_{r=0}^infty (lambda^r / 2^r r!) pchisq(x, df + 2r)
for x >= 0.dchisq.pnchisq(1, df = 3, lambda = 0) == pchisq(1, df = 3) pnchisq(1, df = 3, lambda = 0:4)