[R] random sample set for regression

[Rui Barradas]

Hello,

Can you please post the output of

dput(all)   # if all is small
dput(head(all, 30))  # if all is big

in a mail?

Hope this helps,

Rui Barradas

On 1/24/2018 4:28 PM, Francisca R. Souza Pereira wrote:
> Hi,
> I'm not a programmer, so I have a question about R functions,
> 
> I run the Random Forest regression models, but
> I would like to run the random forest model 1000 times with different
> random sample set. to check the uncertainty of the regression model
> estimates.
> 
> exemple of data:
> #################################
> table= all
> Y: all$AGB
> X variables:
> Variables=as.matrix(all[, c( "min", "max", "avg", "qav", "std",
>                                    "ske", "kur",  "p50",  "d50",  "d06",
> "d07", "d08", "dns_gap")])
> 
> rf.Model=randomForest(Variables, all$AGB, importance=T)
> #################################
> 
> Can I use Monte Carlo method or Bootstrap to simulate 1000 different sample
> set and Run 1000 x times the Random Forest regression?  But How can I do
> that? Could somebody have an idea with the script?
> Thanks!
> Fran
> 
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> 
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