plot_vpc: VPC plotting function

In vpc: Create Visual Predictive Checks

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	verbosity (T/F)

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")

vpc documentation built on Jan. 16, 2021, 5:44 p.m.