What is practical use of list in createDataPartition












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Can someone please help me to understand practical use of list in createDataPartition, caret package



as per documentation,
logical - should the results be in a list (TRUE) or a matrix with the number of rows equal to floor(p * length(y)) and times columns.










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    It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
    – alistaire
    Jul 15 '17 at 3:13
















0














Can someone please help me to understand practical use of list in createDataPartition, caret package



as per documentation,
logical - should the results be in a list (TRUE) or a matrix with the number of rows equal to floor(p * length(y)) and times columns.










share|improve this question




















  • 1




    It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
    – alistaire
    Jul 15 '17 at 3:13














0












0








0







Can someone please help me to understand practical use of list in createDataPartition, caret package



as per documentation,
logical - should the results be in a list (TRUE) or a matrix with the number of rows equal to floor(p * length(y)) and times columns.










share|improve this question















Can someone please help me to understand practical use of list in createDataPartition, caret package



as per documentation,
logical - should the results be in a list (TRUE) or a matrix with the number of rows equal to floor(p * length(y)) and times columns.







r r-caret






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edited Nov 12 at 6:45









jmuhlenkamp

1,405525




1,405525










asked Jul 15 '17 at 2:51









abc

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  • 1




    It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
    – alistaire
    Jul 15 '17 at 3:13














  • 1




    It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
    – alistaire
    Jul 15 '17 at 3:13








1




1




It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
– alistaire
Jul 15 '17 at 3:13




It's easy to lapply across bootstrap resamples in a list. They can also hold other data together with the resample indices, which a matrix can't.
– alistaire
Jul 15 '17 at 3:13












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When used by train to do leave-group-out-cross-validation aka Monte Carlo CV. Also, what alistaire said.






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    When used by train to do leave-group-out-cross-validation aka Monte Carlo CV. Also, what alistaire said.






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      When used by train to do leave-group-out-cross-validation aka Monte Carlo CV. Also, what alistaire said.






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        When used by train to do leave-group-out-cross-validation aka Monte Carlo CV. Also, what alistaire said.






        share|improve this answer












        When used by train to do leave-group-out-cross-validation aka Monte Carlo CV. Also, what alistaire said.







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        answered Jul 16 '17 at 21:50









        topepo

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