It returns a tibble with the predictions from all the terms in a polar_gam model.
predict_polar_gam(
model,
origin = NULL,
exclude_terms = NULL,
length_out = 50,
values = NULL,
return_ci = FALSE,
ci_z = 1.96
)A polar_gam model object.
The coordinates of the origin as a vector of c(x, y) coordinates.
Terms to be excluded from the prediction. Term names should be given as they appear in the model summary (for example, "s(x0,x1)").
An integer indicating how many values along the numeric predictors to use for predicting the outcome term (the default is 50).
User supplied values for numeric terms as a named list.
Whether to return a tibble with cartesian confidence intervals (for use with geom_polar_ci).
The z-value for calculating the CIs (the default is 1.96 for 95 percent CI).
A tibble with predictions from a polar_gam model.
The function behaves like predict_gam but it converts the
coordinates from polar to cartesian automatically. Check
vignette("predict-gam", package = "tidymv") to an overview of the
predict method.
To see an example of plotting, see the examples in geom_polar_ci.
# \donttest{
library(dplyr)
tongue_it01 <- filter(tongue, speaker == "it01")
it01_pol <- polar_gam(Y ~ s(X, by = c2_place) + s(X, word, bs = "fs"),
data = tongue_it01)
#> The origin is x = 14.3901267816422, y = -65.2315420525847.
# get predictions
it01_pred <- predict_polar_gam(it01_pol)
# get predictions excluding the random smooth for word (the coefficient for
# the random smooth is set to 0)
it01_excl_rand <- predict_polar_gam(it01_pol, exclude_terms = "s(X,word)")
# }