Hi Steve,
Thanks for the note. I did try the example and the result didn't make
sense to me. For splitting a vector, what you describe is a big
difference btw them. For splitting a dataframe, I now wonder if these
2 functions are the wrong choices. They seem to split the columns, at
least in the few things I tried.
Bonnie
Quoting Steve Lianoglou <mailinglist.honey...@gmail.com>:
Hi,
On Sun, Oct 2, 2011 at 2:47 PM, <bby2...@columbia.edu> wrote:
Hello,
I'm trying to separate my dataset into 4 parts with the 4th one as the test
dataset, and the other three to fit a model.
I've been searching for the difference between these 2 functions in Caret
package, but the most I can get is this--
A series of test/training partitions are created using createDataPartition
while createResample creates one or more bootstrap samples. createFolds
splits the data into k groups.
I'm missing something here? What is the difference btw createPartition and
createFold? I guess they wouldn't be equivalent.
Well -- you could always look at the source code to find out (enter
the name of the function into your R console and hit return), but you
can also do some experimentation to find out. Using the data from the
Examples section of caret::createFolds:
R> library(caret)
R> data(oil)
R> part <- createDataPartition(oilType, 2)
R> fold <- createFolds(oilType, 2)
R> length(Reduce(intersect, part))
[1] 27
R> length(Reduce(intersect, fold))
[1] 0
Looks like `createDataPartition` split your data into smaller pieces,
but allows for the same example to appear in different splits.
`createFolds` doesn't allow different examples to appear in different
splits of the folds.
HTH,
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
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