get_terms: Extract the partial effects of non-linear model terms

In adibender/mgcvtools: Utility functions for work with the mgcv package

Description

This function basically creates a new df from data for each term in terms, creating a range from minimum and maximum of the predict(fit, newdata=df, type="terms"). Terms are then stacked to a tidy data frame.

Usage

get_terms(data, fit, terms, ...)

Arguments

data	A data frame containing variables used to fit the model. Only first row will be used.
fit	A fitted object of class gam.
terms	A character vector (can be length one). Specifies the terms for which partial effects will be returned
...	Further arguments passed to seq_range.

Value

A tibble with 5 columns.

Examples

mod <- mgcv::gam(Sepal.Length ~ s(Sepal.Width), data = iris)
terms_df <- iris %>% get_terms(mod, terms = c("Sepal.Width"))
head(terms_df)
tail(terms_df)

adibender/mgcvtools documentation built on May 14, 2019, 7:55 p.m.