| extract_regression_residuals {tidyAML} | R Documentation |
Extract Residuals from Fast Regression Models
Description
This function extracts residuals from a fast regression model
table (fast_regression()).
Usage
extract_regression_residuals(.model_tbl, .pivot_long = FALSE)
Arguments
.model_tbl |
A fast regression model specification table ( |
.pivot_long |
A logical value indicating if the output should be pivoted.
The default is |
Details
The function checks if the input model specification table inherits the class 'fst_reg_spec_tbl' and if it contains the column 'pred_wflw'. It then manipulates the data, grouping it by model, and extracts residuals for each model. The result is a list of data frames, each containing residuals, actual values, and predicted values for a specific model.
Value
The function returns a list of data frames, each containing residuals, actual values, and predicted values for a specific model.
Author(s)
Steven P. Sanderson II, MPH
See Also
Other Extractor:
extract_model_spec(),
extract_wflw(),
extract_wflw_fit(),
extract_wflw_pred(),
get_model()
Examples
library(recipes, quietly = TRUE)
rec_obj <- recipe(mpg ~ ., data = mtcars)
fr_tbl <- fast_regression(mtcars, rec_obj, .parsnip_eng = c("lm","glm"),
.parsnip_fns = "linear_reg")
extract_regression_residuals(fr_tbl)
extract_regression_residuals(fr_tbl, .pivot_long = TRUE)