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

Question

Getting the error Error: nrow(x) == n is not TRUE when I am using Caret, can anyone help. See example below

Get Wisconsin Breast Cancer dataset and load required libraries

library(dplyr)
library(caret)
library(mlbench)
data(BreastCancer)

myControl = trainControl(
method = "cv", number = 5,
repeats = 5, verboseIter = TRUE
)

breast_cancer_y <- BreastCancer %>%
  dplyr::select(Class)

breast_cancer_x <- BreastCancer %>%
  dplyr::select(-Class)

Also apply median imputation to model for missing data

model <- train(
  x = breast_cancer_x,
  y = breast_cancer_y,
  method = "glmnet",
  trControl = myControl,
  preProcess = "medianImpute"
  )

Getting this error -

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

Suren Suren · Accepted Answer · 2017-12-13T03:38:27

Here, breast_cancer_y is a data.frame. Consider using y = breast_cancer_y$Class in the train function.

You also have a character column in breast_cancer_x; the Id columns.

I am still getting some other error messages after fixing these. These appear related to pre-processing and control.

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

1 Answers