Dear All,

Recently I start to learn how to use the
MCRestimate package to gauge the MCR values. I just simply carried out
the example offered in the package:

-------------------------------------------

library(golubEsets)
data(Golub_Test)
G2 <- Golub_Test[1:500,]
result <- MCRestimate(G2, "ALL.AML", classification.fun="RF.wrap",
cross.outer=4, cross.repeat=3)
result
if (interactive()) {
x11(width=9, height=4)}
plot(result)

--------------------------------------------

And then I did:

> result$parameter
list()

According to the manual, this list should not be "NULL" and include the
estimated "best" parameters for each cross-validation part. I would
be deeply grateful if you can help me to figure it out.

Regards,

ZHENG (ALEX) FU

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