This method uses gather on an rset object to stack all of
the non-ID or split columns in the data and is useful for
stacking model evaluation statistics. The resulting data frame
has a column based on the column names of data and another for
the values.
Not specified in this method and will be
ignored. Note that this means that selectors are ignored if
they are passed to the function.
na.rm
If TRUE, will remove rows from output where the
value column in NA.
convert
If TRUE will automatically run
type.convert() on the key column. This is useful if the column
names are actually numeric, integer, or logical.
factor_key
If FALSE, the default, the key values will be
stored as a character vector. If TRUE, will be stored as a
factor, which preserves the original ordering of the columns.
Value
A data frame with the ID columns, a column called
model (with the previous column names), and a column called
statistic (with the values).
# NOT RUN {library(rsample)
cv_obj <- vfold_cv(mtcars, v = 10)
cv_obj$lm_rmse <- rnorm(10, mean = 2)
cv_obj$nnet_rmse <- rnorm(10, mean = 1)
gather(cv_obj)
# }