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Kind of minor FR.
Quite common use case when using caret package for machine learning.
Bellow command (random partition indices for training and testing machine learning model): idx_training <- createDataPartition(dt$response, p = 0.75, list = FALSE)
will produce integer vector but with length of second dimension equal to 1.
when subsetting this on data.frame as follows: as.data.frame(dt)[idx_training,]
it will works just fine.
But when trying to subset on data.table:
dt[idx_training]
dt[idx_training,] # even tried this way on data.table
it will throw an error like that:
Error in `[.data.table`(dt, idx_training) :
i is invalid type (matrix). Perhaps in future a 2 column matrix could return a list of elements of DT (in the spirit of A[B] in FAQ 2.14). Please let datatable-help know if you'd like this, or add your comments to FR #1611.
So the finally the FR is:
support for subset integer vector stored as matrix when dim(int_vector)[2]==1
behave the same as data.frame - in terms of subsetting in such case
I think it is not a big deal and better integration with data.frame is always good.
Of course it currently can be done just by dt[idx_training[,1]], that's why it's minor.
The text was updated successfully, but these errors were encountered:
jangorecki
changed the title
subset DT on integer vector stored as matrix the same as data.frame
subset DT on integer vector stored as matrix the same way as data.frame
Sep 22, 2014
jangorecki
changed the title
subset DT on integer vector stored as matrix the same way as data.frame
[Request] subset DT on integer vector stored as matrix the same way as data.frame
Nov 13, 2014
Kind of minor FR.
Quite common use case when using
caret
package for machine learning.Bellow command (random partition indices for training and testing machine learning model):
idx_training <- createDataPartition(dt$response, p = 0.75, list = FALSE)
will produce integer vector but with length of second dimension equal to 1.
when subsetting this on data.frame as follows:
as.data.frame(dt)[idx_training,]
it will works just fine.
But when trying to subset on data.table:
it will throw an error like that:
So the finally the FR is:
dim(int_vector)[2]==1
I think it is not a big deal and better integration with data.frame is always good.
Of course it currently can be done just by
dt[idx_training[,1]]
, that's why it's minor.The text was updated successfully, but these errors were encountered: