Nothing
## library(appell)
## compare the results of both algorithms
## for random test data.
## todo: add better tests trying to replicate published results?
nTest <- 100L
set.seed(38)
a <- complex(real=rnorm(nTest),
imaginary=rnorm(nTest))
b <- complex(real=rnorm(nTest),
imaginary=rnorm(nTest))
c <- complex(real=rnorm(nTest),
imaginary=rnorm(nTest))
z <- complex(real=rnorm(nTest),
imaginary=rnorm(nTest))
tableHyp2f1 <- matrix(nrow=nTest,
ncol=2L,
dimnames=
list(NULL,
c("forrey", "michel.stoitsov")))
for(i in seq_len(nTest))
{
tableHyp2f1[i, "forrey"] <- hyp2f1(a[i], b[i], c[i], z[i],
algorithm="forrey")
tableHyp2f1[i, "michel.stoitsov"] <- hyp2f1(a[i], b[i], c[i], z[i],
algorithm="michel.stoitsov")
}
tableHyp2f1
abs(tableHyp2f1[, "forrey"] - tableHyp2f1[, "michel.stoitsov"])
## so very small differences,
## at least in this range of function parameters.
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