plot_linearEffects {APCtools}  R Documentation 
Plot linear effects of a gam in an effect plot
Description
Create an effect plot of linear effects of a model fitted with
gam
or bam
.
Usage
plot_linearEffects(
model,
variables = NULL,
return_plotData = FALSE,
refCat = FALSE,
...
)
Arguments
model 

variables 
Optional character vector of variable names specifying which effects should be plotted. The order of the vector corresponds to the order in the effect plot. If the argument is not specified, all linear effects are plotted according to the order of their appearance in the model output. 
return_plotData 
If TRUE, the dataset prepared for plotting is returned. Defaults to FALSE. 
refCat 
If TRUE, reference categories are added to the output for categorical covariates. Defaults to FALSE. 
... 
Additional arguments passed to

Details
If the model was estimated with a log or logit link, the function automatically performs an exponential transformation of the effect.
Value
ggplot object
Author(s)
Alexander Bauer alexander.bauer@stat.unimuenchen.de
Examples
library(APCtools)
library(mgcv)
data(travel)
model < gam(mainTrip_distance ~ te(age, period) + residence_region +
household_size + s(household_income), data = travel)
plot_linearEffects(model)