plot_components: Visualize all model components

In jtimonen/lgpr: Longitudinal Gaussian Process Regression

Visualize all model components

Description

This calls plot_f for all model components.

Usage

plot_components(
  fit,
  pred = NULL,
  group_by = "id",
  t_name = "age",
  MULT_STD = 2,
  verbose = TRUE,
  draws = NULL,
  reduce = function(x) base::mean(x),
  color_by = NA,
  no_err = FALSE,
  ylim = NULL,
  draw = TRUE,
  nrow = NULL,
  ncol = NULL,
  gg_add = NULL,
  x = NULL,
  ...
)

Arguments

fit	An object of class lgpfit.
pred	An object of class GaussianPrediction or Prediction. If pred=NULL, the pred function is called with the given reduce and draws arguments.
group_by	name of the grouping variable (use group_by=NA to avoid grouping)
t_name	name of the x-axis variable
MULT_STD	a multiplier for standard deviation
verbose	Can this print any messages?
draws	Only has effect if pred=NULL.
reduce	Only has effect if pred=NULL.
color_by	Names of coloring factors. Can have length 1 or equal to the number of components. See the color_by argument of plot_f.
no_err	Should the error ribbons be skipped even though they otherwise would be shown? Can have length 1 or equal to number of components + 1. See the no_err argument of plot_api_c.
ylim	a vector of length 2 (upper and lower y-axis limits), or NULL
draw	if this is TRUE, the plot grid is drawn using arrangeGrob
nrow	number of grid rows
ncol	number of grid columns
gg_add	additional ggplot obejct to add to each plot
x	Deprecated argument. This is now taken from the pred object to ensure compatibility.
...	additional arguments to plot_api_c

Value

a list of ggplot objects invisibly

See Also

Other main plot functions: plot_draws(), plot_pred()

jtimonen/lgpr documentation built on Oct. 12, 2023, 11:13 p.m.