tidymv (version 3.4.2)

plot_smooths: Plot GAM smooths.

Description

This function is from the superseded package tidymv. Please, use the tidygam package instead.

It plots the smooths from the estimates of a gam or bam object.

Usage

plot_smooths(
  model,
  series,
  comparison = NULL,
  facet_terms = NULL,
  conditions = NULL,
  exclude_random = TRUE,
  exclude_terms = NULL,
  series_length = 25,
  split = NULL,
  sep = "\\.",
  transform = NULL,
  ci_z = 1.96,
  time_series
)

Value

A [ggplot][ggplot2::ggplot] object.

Arguments

model

A gam or bam model object.

series

An unquoted expression indicating the model term that defines the series on which smoothing is applied. This is the term that is displayed on the x-axis when plotting.

comparison

An unquoted expression indicating the model term for which the comparison will be plotted.

facet_terms

An unquoted formula with the terms used for faceting.

conditions

A list of quosures with quos specifying the levels to plot from the model terms not among series, comparison, or facet_terms.

exclude_random

Whether to exclude random smooths (the default is TRUE).

exclude_terms

Terms to be excluded from the prediction. Term names should be given as they appear in the model summary (for example, "s(x0,x1)").

series_length

An integer indicating how many values along the time series to use for predicting the outcome term.

split

Columns to separate as a named list.

sep

Separator between columns (default is "\\.", which is the default with ). If character, it is interpreted as a regular expression.

transform

Function used to transform the fitted values (useful for getting plots on the response scale).

ci_z

The z-value for calculating the CIs (the default is 1.96 for 95 percent CI).

time_series

Deprecated, use series instead.

Examples

library(mgcv)
set.seed(10)
data <- gamSim(4)
model <- gam(y ~ fac + s(x2) + s(x2, by = fac) + s(x0), data = data)

plot_smooths(model, x2, fac)

# alternative model specification
model <- gam(y ~ s(fac, bs = "re") + s(x2) + s(x2, by = fac) + s(x0), data = data)
plot_smooths(model, x2, fac)

# For details, see vignette
if (FALSE) {
vignette("plot-smooths", package = "tidymv")
}