plot_vpc {vpc} | R Documentation |
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 |
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")
[Package vpc version 1.2.2 Index]