我正在尝试使用 tidymodels 进行 PCR,但是我一直遇到这个问题。我知道有一个类似的帖子,但是那里的解决方案对我的情况不起作用。
我的数据
library(AppliedPredictiveModeling)
data(solubility)
train = solTrainY %>% bind_cols(solTrainXtrans) %>% rename(solubility = ...1)
我的 PCR 分析
train %<>% mutate_all(., as.numeric) %>% glimpse()
tidy_rec = recipe(solubility ~ ., data = train) %>%
step_corr(all_predictors(), threshold = 0.9) %>%
step_pca(all_predictors(), num_comp = ncol(train)-1) %>%
prep()
tidy_rec %>% tidy(2) %>% select(terms) %>% distinct()
tidy_predata = tidy_rec %>% juice()
# Re-sampling
tidy_folds = vfold_cv(train, v = 10)
# Set model
tidy_rlm = linear_reg() %>%
set_mode("regression") %>%
set_engine("lm")
# Set workflow
tidy_wf = workflow() %>%
add_recipe(tidy_rec) %>%
add_model(tidy_rlm)
# Fit model
tidy_fit = tidy_wf %>%
fit_resamples(tidy_folds)
tidy_fit %>% collect_metrics()
错误
x Fold01: recipe: Error: Can't subset columns that don't exist.
x Columns `PC1`, `PC2`, `PC3`, `PC4`, and `PC5` don't exist.
x Fold02: recipe: Error: Can't subset columns that don't exist.
x Columns `PC1`, `PC2`, `PC3`, `PC4`, and `PC5` don't exist.
x Fold03: recipe: Error: Can't subset columns that don't exist.
x Columns `PC1`, `PC2`, `PC3`, `PC4`, and `PC5` don't exist.
x Fold04: recipe: Error: Can't subset columns that don't exist.
x Columns `PC1`, `PC2`, `PC3`, `PC4`, and `PC5` don't exist.
x Fold05: recipe: Error: Can't subset columns that don't exist.
x Columns `PC1`, `PC2`, `PC3`, `PC4`, and `PC5` don't exist.
x Fold06: recipe: Error: Can't subset columns that don't exist.
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