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Generate data over the range of variables used in smooths

Source: R/datagen-methods.R
datagen.Rd

[Deprecated]

For each smooth in a GAM, generate new data over the range of the variables involved in a smooth. This function is deprecated as it is only useful for a very narrow use-case. Use data_slice() instead.

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

Gavin L. Simpson