check_order: Perform a consistency check on observed and simulated data.

In smouksassi/ComputePI: Compute Prediction Intervals on Simulated versus Observed Data

Description

This function performs a simple consistency check on an observed and simulated dataset to make sure they are consistent with respect to ordering as required by the other functions used in the VPC calculation.

Usage

check_order(obs, sim, tol = 1e-05)

Arguments

obs, sim	A 'data.frame' with 2 columns (see Details).
tol	A tolerance for comparing time values.

Details

The consistency check is performed by comparing a combination of unique subject identifier (ID) and time. Both 'data.frame's must be given with those in positions 1 and 2 repectively.

Value

The number of replicates contained in 'sim'.

See Also

observed, simulated.

Examples

## Not run: 
library(vpc)

exampleobs <- as.data.table(vpc::simple_data$obs)[MDV == 0]
examplesim <- as.data.table(vpc::simple_data$sim)[MDV == 0]

check_order(exampleobs[, .(ID, TIME)], examplesim[, .(ID, TIME)])

## End(Not run)

smouksassi/ComputePI documentation built on Nov. 10, 2019, 2:46 p.m.