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
)

Arguments

model

A fitted model of class gam.

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 seq call, e.g. seq(-6, 6, 2).

See also

Examples

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'")