simulated: Specify simulated dataset and variables for VPC

In tidyvpc: VPC Percentiles and Prediction Intervals

Specify simulated dataset and variables for VPC

Description

The simulated function is used for specifying simulated input data and variables for VPC. Note: Simulated data must not contain missing DV and may require filtering MDV == 0 before generating VPC. The ordering of observed and simulated data must also be consistent, with replicates in simulated data stacked on top of each other.

Usage

simulated(o, ...)

## S3 method for class 'tidyvpcobj'
simulated(o, data, ysim, ..., xsim)

Arguments

o	A tidyvpcobj.
...	Other arguments.
data	A data.frame of simulated data.
ysim	Numeric y-variable, typically named DV.
xsim	Numeric x-variable, typically named TIME.

Value

A tidyvpcobj containing simulated dataset sim formatted with columns x, y, and repl, which indicates the replicate number. The column x is used from the observed() function. Resulting dataset is of class data.frame and data.table.

See Also

observed censoring stratify predcorrect binning binless vpcstats

Examples

require(magrittr)

vpc <- observed(obs_data, x=TIME, y=DV) %>%
    simulated(sim_data, y=DV)

tidyvpc documentation built on May 29, 2024, 8:29 a.m.