Oh! It was a typo. ntree=800 was to be specified. Thanks Bret.
> .On 07-Feb-2016, at 8:58 PM, Bert Gunter wrote:
>
> 5800 **not 5, 800** , no commas and no spaces.
>
> Please read an R tutorial or two to learn how to properly work with R
> if this is not merely a typo.
>
> -- Bert
> Bert Gunte
5800 **not 5, 800** , no commas and no spaces.
Please read an R tutorial or two to learn how to properly work with R
if this is not merely a typo.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breat
Hi,
While executing rfImpute() in order to impute missing values in the data set I
receive below error :
| Out-of-bag |
Tree | MSE %Var(y) |
800 | 2.979e+04 1.02 |
Error in prox[miss, -miss, drop = FALSE] %*% xf[, j][-miss] :
requires numeric/complex matrix/vector argume
Ideas:
Read the Posting Guide (http://www.R-project.org/posting-guide.html) for this
mailing list (one of the gems in there warns you to not post using HTML email)
Provide a reproducible example (e.g. per [1]) that includes the library/require
statements that load your packages
Consider subscr
I am having the same problem
trainImp <- rfImpute(train[,!colnames(train)=="score"],train$score)
yields
Error in randomForest.default(xf, y, ntree = ntree, ..., do.trace = ntree,
:
NA not permitted in predictors
any ideas?
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