f_predict_regression_add_predictions: adds predictions, residuals, abolute residuals, squared...

In erblast/oetteR: Collection of personal R functions

Description

absolute percent error = (abs(resid/pred)*100 )

Usage

f_predict_regression_add_predictions(data_test, m, col_target = NULL,
  data_train = NULL, cols_id = NULL, formula = NULL, ...)

Arguments

data_test	dataframe containing data to be used as the basis for prediction. Can also be a modelR resample object
m	regression model
col_target	character vector naming target/response variable
data_train	dataframe with trainig data, Default: 'NULL'
cols_id	character vector naming id columns, if specified non_id columns will be dropped from dataframe, in order to be more memory efficient.
formula	Default NULL
...	additional arguments passed to HDtweedie and glmnet predict functions

Details

works with HDtweedie, randomForest, rpart, e1071::svm, glmnet, gamlss, caret

Value

dataframe

dataframe

Examples

df = mtcars %>%
mutate(names = row.names(.))
m = rpart::rpart(disp~., df)
pred = f_predict_regression_add_predictions(df, m, 'disp', 'names')
pred

erblast/oetteR documentation built on May 27, 2019, 12:11 p.m.