plot_difference {tidymv}

Plot difference smooth from a GAM.

Description

This function is from the superseded package tidymv.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

It plots the difference smooth from a gam or bam. Significant differences are marked with red areas.

Usage

plot_difference(
  model,
  series,
  difference,
  conditions = NULL,
  exclude_random = TRUE,
  series_length = 100,
  ci_z = 1.96,
  time_series
)

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.

difference

A named list with the levels to compute the difference of.

conditions

A named list specifying the levels to plot from the model terms not among series or difference. Notice the difference with plot_smooths, which uses quos.

exclude_random

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

series_length

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

ci_z

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

time_series

Deprecated, use series instead.

Value

A ⁠[ggplot][ggplot2::ggplot] object.⁠

Examples

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

plot_difference(model, x2, list(fac = c("1", "2")))

# For details, see vignette
## Not run: 
vignette("plot-smooths", package = "tidymv")

## End(Not run)