如果variable_names
包含名称我想更新那些成为 Not_predictors 的角色;而如果variable_names
是 NA 我想在函数中跳过这一步。但是,在添加条件时,我得到了错误。请参阅下面的 repex 代码。
# 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
这是错误:
Error: $ operator is invalid for atomic vectors
In addition: Warning message:
No selectors were found
任何帮助深表感谢。