# correct PCA values Code tidy(pca_extract_trained, number = 3, type = "variances") Condition Error in `match.arg()`: ! 'arg' should be one of "coef", "variance" # printing Code print(pca_extract) Output Recipe Inputs: role #variables outcome 1 predictor 5 Operations: PCA extraction with carbon, hydrogen, oxygen, nitrogen, sulfur --- Code prep(pca_extract) Output Recipe Inputs: role #variables outcome 1 predictor 5 Training data contained 456 data points and no missing data. Operations: PCA extraction with carbon, hydrogen, oxygen, nitrogen, sulfur [trained] # No PCA comps Code print(pca_extract_trained) Output Recipe Inputs: role #variables outcome 1 predictor 5 Training data contained 456 data points and no missing data. Operations: No PCA components were extracted from carbon, hydrogen, oxygen, nitrogen, sulfur [trained] # backwards compatible with 0.1.17 Code pca_extract Output Recipe Inputs: role #variables outcome 1 predictor 5 Training data contained 456 data points and no missing data. Operations: Centering for carbon, hydrogen, oxygen, nitrogen, sulfur [trained] Scaling for carbon, hydrogen, oxygen, nitrogen, sulfur [trained] PCA extraction with carbon, hydrogen, oxygen, nitrogen, sulfur [trained] # can prep recipes with no keep_original_cols Code pca_extract_trained <- prep(pca_extract, training = biomass_tr, verbose = FALSE) Condition Warning: 'keep_original_cols' was added to `step_pca()` after this recipe was created. Regenerate your recipe to avoid this warning. # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: PCA extraction with <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: No PCA components were extracted from <none> [trained] # case weights Code pca_extract_trained Output Recipe Inputs: role #variables case_weights 1 outcome 1 predictor 4 Training data contained 456 data points and no missing data. Operations: PCA extraction with carbon, hydrogen, oxygen, sulfur [weighted, trained] --- Code pca_extract_trained Output Recipe Inputs: role #variables case_weights 1 outcome 1 predictor 4 Training data contained 456 data points and no missing data. Operations: PCA extraction with carbon, hydrogen, oxygen, sulfur [ignored weights, trained]
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