plot_vpc: VPC plotting function

In ronkeizer/vpc: Create Visual Predictive Checks

VPC plotting function

Description

This function performs no parsing of data, it just plots the already calculated statistics generated using one of the 'vpc' functions.

Usage

plot_vpc(
  db,
  show = NULL,
  vpc_theme = NULL,
  smooth = TRUE,
  log_x = FALSE,
  log_y = FALSE,
  xlab = NULL,
  ylab = NULL,
  title = NULL,
  verbose = FALSE
)

Arguments

db	object created using the 'vpc' function
show	what to show in VPC (obs_dv, obs_ci, pi, pi_as_area, pi_ci, obs_median, sim_median, sim_median_ci)
vpc_theme	theme to be used in VPC. Expects list of class vpc_theme created with function vpc_theme()
smooth	"smooth" the VPC (connect bin midpoints) or show bins as rectangular boxes. Default is TRUE.
log_x	Boolean indicting whether x-axis should be shown as logarithmic. Default is FALSE.
log_y	Boolean indicting whether y-axis should be shown as logarithmic. Default is FALSE.
xlab	label for x axis
ylab	label for y axis
title	title
verbose	show debugging information (TRUE or FALSE)

See Also

sim_data, vpc_cens, vpc_tte, vpc_cat

Examples

## See vpc.ronkeizer.com for more documentation and examples

library(vpc)
vpc_db <- vpc(sim = simple_data$sim, obs = simple_data$obs, vpcdb = TRUE)
plot_vpc(vpc_db, title = "My new vpc", x = "Custom x label")

ronkeizer/vpc documentation built on May 11, 2023, 11:09 p.m.