This function inserts calculated odds ratios of GAM(M)s into a plot of a GAM(M) smoothing function.

insert_or(
  plot_object = NULL,
  or_object = NULL,
  line_col = "red",
  line_size = 1.2,
  line_type = "solid",
  line_alpha = 1,
  text_alpha = 1,
  text_size = 4,
  text_col = "black",
  rect_alpha = 0.5,
  rect_col = NULL,
  rect = FALSE,
  arrow = TRUE,
  values = TRUE,
  values_yloc = 0,
  values_xloc = NULL,
  or_yloc = 0,
  arrow_length = NULL,
  arrow_yloc = NULL,
  arrow_col = NULL,
  arrow_xloc_r = NULL,
  arrow_xloc_l = NULL
)

Arguments

plot_object

A ggplot object from plot_gam().

or_object

A data.frame as returned from or_gam().

line_col, line_alpha, line_type, line_size

Aesthetics of vertical lines.

text_col, text_alpha, text_size

Aesthetics of inserted values.

rect_col, rect_alpha

Aesthetics of shaded rectangle.

rect

Whether to print a shaded rectangle between the vertical lines.

arrow

Whether to print arrows above the inserted values.

values

Whether to print predictor value information nearby the inserted vertical lines.

values_xloc

x-axis location/shift of values relative to their vertical line. Default to 2\% of x-axis range.

or_yloc, values_yloc

Specifies y-location of inserted odds ratio values. Relative to plotted y-axis range. A positive (negative) value will place the the text higher (lower).

arrow_xloc_r, arrow_xloc_l, arrow_yloc, arrow_length, arrow_col

Axis placement options of inserted arrows. Relative to respective axis ranges.

Value

ggplot2

Details

The idea behind this function is to add calculated odds ratios of fitted GAM models (or_gam()) into a plot showing the smooth function (plot_gam) of the chosen predictor for which the odds ratio was calculated for. Multiple insertions can be made by iterative calling the function (see examples).

Right now the function only accepts inputs from or_gam() objects with slice = FALSE. If you want to insert multiple odds ratio values, call the function multiple times.

See also

Examples

library(oddsratio) library(mgcv) fit_gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data_gam) # fit model # create input objects (plot + odds ratios) plot_object <- plot_gam(fit_gam, pred = "x2", title = "Predictor 'x2'") or_object1 <- or_gam( data = data_gam, model = fit_gam, pred = "x2", values = c(0.099, 0.198) ) # insert first odds ratios to plot plot_object <- insert_or(plot_object, or_object1, or_yloc = 3, values_xloc = 0.04, line_size = 0.5, line_type = "dotdash", text_size = 6, values_yloc = 0.5, arrow_col = "red" ) # calculate second odds ratio or_object2 <- or_gam( data = data_gam, model = fit_gam, pred = "x2", values = c(0.4, 0.6) ) # add or_object2 into plot insert_or(plot_object, or_object2, or_yloc = 2.1, values_yloc = 2, line_col = "green4", text_col = "black", rect_col = "green4", rect_alpha = 0.2, line_alpha = 1, line_type = "dashed", arrow_xloc_r = 0.01, arrow_xloc_l = -0.01, arrow_length = 0.01, rect = TRUE )