autoplot.fitgam | R Documentation |
Takes an object produced by fit_gam()
, and plots the fitted
GAM.
## S3 method for class 'fitgam' autoplot( object, conf_int = FALSE, color_gam = "steelblue", show_observations = FALSE, x_stepsize = NULL, size_points = 1, color_points = "black", rotate_labels = FALSE, remove_outliers = NULL, ... )
object |
fitgam object produced by |
conf_int |
determines whether 95 percent confidence intervals will be
plotted. The default is |
color_gam |
a color can be specified either by name (e.g.: "red") or by hexadecimal code (e.g. : "#FF1234") (default is "steelblue") |
show_observations |
add observed frequency/severity points for each level of the variable for which tariff classes are constructed |
x_stepsize |
set step size for labels horizontal axis |
size_points |
size for points (1 is default) |
color_points |
change the color of the points in the graph ("black" is default) |
rotate_labels |
rotate x-labels 45 degrees (this might be helpful for overlapping x-labels) |
remove_outliers |
do not show observations above this number in the plot. This might be helpful for outliers. |
... |
other plotting parameters to affect the plot |
a ggplot object
Martin Haringa
## Not run: library(ggplot2) library(dplyr) fit_gam(MTPL, nclaims = nclaims, x = age_policyholder, exposure = exposure) %>% autoplot(., show_observations = TRUE) ## End(Not run)
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