If variable_names
contains names I want to update the role of those to become Not_predictors; whereas if variable_names
is NA I want to skip this step within a function. However, when adding the condition I get and error. Please see repex code below.
# Example Data
pred1 <- c(4,2,1)
pred2 <- c(4,2,1)
pred3 <- c(4,2,1)
pred4 <- c(4,2,1)
id_nr <- c(1, 2, 3)
y <- c(1,5,2)
data <- tibble::tibble(pred1, pred2, pred3, pred4, id_nr, y)
# Want to remove thes variables from predictor role if variable_names is not NA
variable_names <- c("pred1", "pred2")
# Without condition it works
recipe <- data %>%
recipes::recipe(y ~ .) %>%
recipes::update_role(id_nr, new_role = "id variable") %>%
recipes::update_role(dplyr::all_of(variable_names), new_role = "Not_predictors") %>%
recipes::step_pca(., recipes::all_predictors(), num_comp = 2) %>%
recipes::prep()
recipe
# But when adding the condition I get error.
recipe <- data %>%
recipes::recipe(y ~ .) %>%
recipes::update_role(id_nr, new_role = "id variable") %>%
{
if(!is.na(variable_names[1])){
recipes::update_role(dplyr::all_of(variable_names), new_role = "Not_predictors")
} else {
.
}
} %>%
recipes::step_pca(., recipes::all_predictors(), num_comp = 2) %>%
prep()
recipe
This is the error:
Error: $ operator is invalid for atomic vectors
In addition: Warning message:
No selectors were found
Any help is much appreciated.
I received a solution from the RStudio community: