convert_data.md
In parsnip: A Common API to Modeling and Analysis Functions

numeric y and mixed x, fail missing data

Code
  .convert_form_to_xy_fit(rate ~ ., data = Puromycin_miss, na.action = na.fail,
  indicators = "traditional", remove_intercept = TRUE)
Condition
  Error in `na.fail.default()`:
  ! missing values in object

numeric x and factor y

Code
  expected <- glm(class ~ ., data = hpc, x = TRUE, y = TRUE, family = binomial())
Condition
  Warning:
  glm.fit: fitted probabilities numerically 0 or 1 occurred

bad args

Code
  .convert_form_to_xy_fit(mpg ~ ., data = mtcars, composition = "tibble",
  indicators = "traditional", remove_intercept = TRUE)
Condition
  Error:
  ! `composition` should be either "data.frame", "matrix", or "dgCMatrix".

Code
  .convert_form_to_xy_fit(mpg ~ ., data = mtcars, weights = letters[1:nrow(mtcars)],
  indicators = "traditional", remove_intercept = TRUE)
Condition
  Error:
  ! `weights` must be a numeric vector.

Code
  .convert_xy_to_form_fit(mtcars$disp, mtcars$mpg, remove_intercept = TRUE)
Condition
  Error:
  ! `x` cannot be a vector.

Code
  .convert_xy_to_form_fit(mtcars[, 1:3], mtcars[, 2:5], remove_intercept = TRUE)
Condition
  Error in `.convert_xy_to_form_fit()`:
  ! `x` and `y` have the names "cyl" and "disp" in common.
  i Please ensure that `x` and `y` don't share any column names.

convert to matrix

Code
  parsnip::maybe_matrix(ames[, c("Year_Built", "Neighborhood")])
Condition
  Error in `parsnip::maybe_matrix()`:
  ! The column "Neighborhood" is non-numeric, so the data cannot be converted to a numeric matrix.

Code
  parsnip::maybe_matrix(Chicago[, c("ridership", "date")])
Condition
  Error in `parsnip::maybe_matrix()`:
  ! The column "date" is non-numeric, so the data cannot be converted to a numeric matrix.