add_residuals.gam: Add residuals from a GAM to a data frame

In gavinsimpson/gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

Add residuals from a GAM to a data frame

Description

Add residuals from a GAM to a data frame

Usage

## S3 method for class 'gam'
add_residuals(data, model, value = ".residual", type = "deviance", ...)

Arguments

data	a data frame containing values for the variables used to fit the model. Passed to stats::predict() as newdata.
model	a fitted model for which a stats::predict() method is available. S3 method dispatch is performed on the model argument.
value	character; the name of the variable in which model predictions will be stored.
type	character; the type of residuals to return. See mgcv::residuals.gam() for options.
...	additional arguments passed to mgcv::residuals.gam().

Value

A data frame (tibble) formed from data and residuals from model.

Examples

load_mgcv()

df <- data_sim("eg1", seed = 1)
df <- df[, c("y", "x0", "x1", "x2", "x3")]
m <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = df, method = "REML")

##
add_residuals(df, m)

gavinsimpson/gratia documentation built on May 4, 2024, 8:13 a.m.