Sample randomly with keeping class distribution in R

Asked May 15 '19 at 20:09

Active May 15 '19 at 20:50

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I have a matrix of 10 classes (2089 rows and 112 colunms).

 0   1  2   3  4   5   6   7  8  9   
482 60 404 134 60 339 376 66 63 105

I want to split the matrix randomly in three sets of proportion: 60, 20 and 20 % respectively with keeping the proportion classes in each set as in the original matrix.

I cheked Stratified random sampling from data frame but it's not the same question.

The first column of the matrix contains the classes indexes from 0 to 9. I want to do the split in 60, 20 and 20 % according to this column. For example the 9th class contains 63 observations (3%). The three parts must contains 3% of this class.

edited May 15 '19 at 20:39

asked May 15 '19 at 20:09

Noura

What does the matrix look like? Is it a 10 column matrix or a vector or what? – akash87 May 15 '19 at 20:15
Suggested duplicate: [stratified random sampling from a data frame](https://stackoverflow.com/q/23479512/903061) – Gregor Thomas May 15 '19 at 20:16
I cheked Stratified random sampling from data frame but it's not the same question. – Noura May 15 '19 at 20:39
look at caret::createdatapartition() – Elia Oct 14 '22 at 13:42

Sample randomly with keeping class distribution in R

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