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| df(x,df1,df2) |
density of a central distribution |
| qf(p,df1,df2) |
quantile corresponding to probability p for a central - |
| pf(q,df1,df2,ncp) |
probability for a distributionwith non-centrality parameter |
| ncpdf(q,df1,df2,ncp) |
density of non-central , see below |
ncpdf_function(x, df1, df2, ncp){
# written by Bob Murison at UNE based on paper by
# O'Neill and Thomson (1998), Aust J exp Agric, 38 617-22.
###############################################
Beta <- function(v1, v2){(gamma(v1) * gamma(v2))/gamma(v1 + v2)}
r <- 0:100
gF <- x * 0
for(i in seq(along = x)) {
gF[i] <- sum((((exp(-0.5 * ncp) * (ncp/2)^r)/gamma(r + 1) * (
df1/df2)^(df1/2 + r))/Beta((df1/2 + r), (df2/2)) *
x[i]^(df1/2 + r - 1))/((1 + (df1/df2) *x[i])^((df1 + df2)/2 + r)))
}
gF
}
Bob Murison
2000-10-31