plot_gam | R Documentation |
Plots the smoothing function of GAM(M) predictors via ggplot2
plot_gam(
model = NULL,
pred = NULL,
col_line = "blue",
ci_line_col = "black",
ci_line_type = "dashed",
ci_fill = "grey",
ci_alpha = 0.4,
ci_line_size = 0.8,
sm_fun_size = 1.1,
title = NULL,
xlab = NULL,
ylab = NULL,
limits_y = NULL,
breaks_y = NULL
)
model |
A fitted model of class |
pred |
Predictor name. |
col_line |
Smoothing function line color. |
ci_line_col |
Confident interval line color. |
ci_line_type |
Linetype of confidence interval. |
ci_fill |
Fill color of area between smoothing function and its confidence interval lines. |
ci_alpha |
Opacity value of confidence interval. |
ci_line_size , sm_fun_size |
Line sizes. |
title |
Plot title. |
xlab |
x-axis title. |
ylab |
y-axis title. |
limits_y |
y-axis limits. |
breaks_y |
y-axis breaks. Values are handed over to a |
or_gam()
insert_or()
library(oddsratio)
library(mgcv)
fit_gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4,
data = data_gam
)
plot_gam(fit_gam, pred = "x2", title = "Predictor 'x2'")
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