prediction in a loop with only one sample

Hi

Without reproducible example you probably do not persuade us to go through your almost unreadable code.
From what you say I think you need split your file to two - training and testing
The approach I would use is sampling a row index.

ind<- sample(1:nrow(some.data), 300)

testing <- some.data[ind,]
training <- some.data[-ind,]

Regards
Petr
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of asdf1234
Sent: Saturday, May 11, 2013 9:59 AM
To: r-help at r-project.org
Subject: [R] prediction in a loop with only one sample

Dear all,

I have a sample with 920 observations. I want to create a loop which
takes 300 of these observations for the prediction and the rest to
estimate the model.

My idea was to create something like this:

cs.training.dat       <- read.table...
cs.training.dat_sub1 <- subset(cs.training.dat, Income>10)
cs.training.dat_sub2 <- subset(cs.training.dat_sub1, Dept.Ratio<=1)
cs.training.dat_sub3 <- subset(cs.training.dat_sub2,
Credit.Limit.Ratio<=1)

for (i in 1:500){
y.2 <- cs.training.dat_sub3$y[1+[i]:300+[i]]
y.1 <- cs.training.dat_sub3$y[-(1+[i]:300+[i])]
NTimes.60DaysLate.2 <-
(cs.training.dat_sub3$NTimes.60DaysLate[1+[i]:300+[i]])
NTimes.60DaysLate.1 <-
(cs.training.dat_sub3$NTimes.60DaysLate[-(1+[i]:300+[i])])
Credit.Limit.Ratio.2 <-
(cs.training.dat_sub3$Credit.Limit.Ratio[1+[i]:300+[i]])
Credit.Limit.Ratio.1 <-
(cs.training.dat_sub3$Credit.Limit.Ratio[-(1+[i]:300+[i])])
Dept.Ratio.2 <- (cs.training.dat_sub3$Dept.Ratio[1+[i]:300+[i]])
Dept.Ratio.1 <- (cs.training.dat_sub3$Dept.Ratio[-(1+[i]:300+[i])])
Numb.Dependents.2 <-
(cs.training.dat_sub3$Numb.Dependents[1+[i]:300+[i]])
Numb.Dependents.1 <- (cs.training.dat_sub3$Numb.Dependents[-
(1+[i]:300+[i]])
X.1[i] <- cbind(NTimes.60DaysLate.1, Credit.Limit.Ratio.1,
Dept.Ratio.1,
Numb.Dependents.1)
X.2[i] <- cbind(NTimes.60DaysLate.2, Credit.Limit.Ratio.2,
Dept.Ratio.2,
Numb.Dependents.2)
}

However, I get error massages because R cannot read 1+[i] ...
Do you have any idea how I can create 500 different pairs from my one
sample where one variabe contains 300 observation and the other the
rest?

Thank you very much in advance.

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prediction in a loop with only one sample

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