Error: nrow(x) == n is not TRUE in Caret train

Asked Jul 30 '17 at 17:36

Active Nov 07 '18 at 23:07

Viewed 1,388 times

I have a dataset "B_data" which looks like this. ( 84 Obs and 56 variables).

   ToF_Freq1 ToF_Freq2 ToF_Freq3 Hat_ToF_sd_Freq1  Hat_ToF_mean_Freq2  pfit_1
1  16.40474  17.22727  22.16426  0.6888009          30.24077          36.5500
2  16.45814  19.27711  21.43667  0.4256916          31.48554          74.85000

dim(B_data)
[1] 84 56

Then i convert the target variables to "factor".

Flag_B <- as.factor(datas$factor_B)

head(Flag_B)
[1] 1  1  1  1  1  10
Levels: 1 10 3 5

length(Flag_B)
[1] 86

and train the data set.

control <- trainControl(method = "repeatedcv",number = 3, repeats = 3)
rf_random <- train(B_data, Flag_B, method="rf", trcontrol = control, metric="Accuracy")

I have the similar error as in the post nrow(x) ==n is not true.

Error: nrow(x) == n is not TRUE.

How do i fix this. I tried reading through but its of not much help.

Many thanks.

edited Nov 07 '18 at 23:07

jmuhlenkamp

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asked Jul 30 '17 at 17:36

stochastiker

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I do not think you have given sufficient specific information about the structure of `B_data` to offer a coding solution. – IRTFM Jul 30 '17 at 18:06
... or the length of Flag_B – user20650 Jul 30 '17 at 18:37
from your edit, the length of FLAG_B does not equal the number of rows of B_data – user20650 Jul 30 '17 at 18:45
Yes. Thanks for pointing it out. Silly mistake. – stochastiker Jul 31 '17 at 07:28

Error: nrow(x) == n is not TRUE in Caret train

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