Not ellegant.. but...
MyDF-data.frame(cbind(x=runif(10), y=rnorm(10)))
TrainingSize=5
TrainingSize_list-sample(1:nrow(MyDF))[1:TrainingSize]
TrainingSize_list
MyDF.training-MyDF[(1:nrow(MyDF) %in% TrainingSize_list),]
MyDF.training
MyDF.test-MyDF[ ! (1:nrow(MyDF) %in% TrainingSize_list),]
Hi,
On Mon, Dec 21, 2009 at 9:09 AM, bbslover dlu...@yeah.net wrote:
I want to split my whole dateset to training set and test set, building model
in training set, and validate model using test set. Now, How can I split my
dataset to them reasonally. Please give me a hand, It is better to
I noticed Max already pointed you to the caret package.
Load the library and look at the help for the createFolds function, eg:
library(caret)
?createFolds
I think that the createDataPartition function in caret might work
better for you.
There are a number of other packages with similar
Thank you for all help. It is helpful for me.
Max Kuhn wrote:
I noticed Max already pointed you to the caret package.
Load the library and look at the help for the createFolds function, eg:
library(caret)
?createFolds
I think that the createDataPartition function in caret might work
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