R: Adds the prediction columns to a piped command set

tidypredict_to_column {tidypredict} | R Documentation

## Adds the prediction columns to a piped command set

### Description

Adds a new column with the results form tidypredict_fit() to a piped command set. If add_interval is set to TRUE, then it will add two additional columns, one for the lower and another for the upper prediction interval bounds.

### Usage

    tidypredict_to_column(df, model, add_interval = FALSE, interval = 0.95,
      vars = c("fit", "upper", "lower"))

### Arguments

`df` | A data.frame or tibble
`model` | An R model or a parsed model inside a data frame
`add_interval` | Switch that indicates if the prediction interval columns should be added. Defaults to FALSE
`interval` | The prediction interval, defaults to 0.95. It is ignored if add_interval is set to FALSE
`vars` | The name of the variables that this function will produce. It defaults to "fit", "upper", and "lower".

### Examples

    library(dplyr)
    df <- mutate(mtcars, cyl = paste0("cyl", cyl))
    model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)

    df %>%
      tidypredict_to_column(model, add_interval = TRUE)

[Package tidypredict version 0.2.0 Index]