Perform a consistency check on observed and simulated data

Source: R/vpcstats.R

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.

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.

Value

The number of replicates contained in `sim`.

Details

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

See also

observed, simulated.

Examples


# \donttest{

 require(data.table)

check_order(obs_data[, .(ID, TIME)], sim_data[, .(ID, TIME)])
#> [1] 100
# }