stratify: Stratification for Visual Predictive Check (VPC)

In tidyvpc: VPC Percentiles and Prediction Intervals

Stratification for Visual Predictive Check (VPC)

Description

Use to specify stratification variables for VPC.

Usage

stratify(o, ...)

## S3 method for class 'tidyvpcobj'
stratify(o, formula, data = o$data, ...)

Arguments

o	A tidyvpcobj.
...	Other arguments to include.
formula	Formula for stratification.
data	Observed data supplied in observed() function.

Value

Returns updated tidyvpcobj with stratification formula, stratification column(s), and strat.split datasets, which is obs split by unique levels of stratification variable(s). Resulting datasets are of class object data.frame and data.table.

See Also

observed simulated censoring predcorrect binning binless vpcstats

Examples

require(magrittr)

vpc <- observed(obs_data, x=TIME, y=DV) %>%
    simulated(sim_data, y=DV) %>%
    stratify(~ GENDER) %>%
    binning(NTIME) %>%
    vpcstats()

# Example with 2-way stratification by GENDER and STUDY.

vpc <- vpc %>%
    stratify(~ GENDER + STUDY) %>%
    binning(bin = "centers", centers = c(1,3,5,7,10)) %>%
    vpcstats()

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