datagen: Generate data over the range of variables used in smooths

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

Generate data over the range of variables used in smooths

Description

For each smooth in a GAM, generate new data over the range of the variables involved in a smooth.

Usage

datagen(x, ...)

## S3 method for class 'mgcv.smooth'
datagen(x, n = 100, data, ...)

## S3 method for class 'fs.interaction'
datagen(x, n = 100, data, ...)

## S3 method for class 'gam'
datagen(x, smooth = NULL, n = 200, ...)

## S3 method for class 'gamm'
datagen(x, ...)

## S3 method for class 'list'
datagen(x, ...)

Arguments

x	an object for which new data is required. Currently objects of classes "gam", and "gamm" are supported, as are smooths from mgcv inheriting from class "mgcv.smooth".
...	arguments passed to methods
n	numeric; the number of data values to generate per term in each smooth.
data	data frame; for "mgcv.smooth" objects, the data used to fit the GAM need to be supplied.

Value

A data frame of new values spread over the range of the observed values.

Author(s)

Gavin L. Simpson

gratia documentation built on Feb. 16, 2023, 10:40 p.m.