dot-removeUnpairableDatasets: Remove unpairable datasets for computing residuals

In Open-Systems-Pharmacology/OSPSuite-R: R package to manipulate OSPSuite Models

Remove unpairable datasets for computing residuals

Description

Computing residuals by definition requires that data should be in pairs, i.e. for every simulated dataset in a given group, there should also be a corresponding observed dataset.

To this end, current function removes the following datasets:

• Datasets which haven't been assigned to any group.

• Datasets that are not part of a pair (i.e. a simulated dataset without observed dataset partner, and vice versa).

Usage

.removeUnpairableDatasets(data)

Arguments

data	A data frame returned by DataCombined$toDataFrame().

Examples

df <- dplyr::tribble(
  ~name, ~dataType, ~group,
  "Sim1", "Simulated", "GroupA",
  "Sim2", "Simulated", "GroupA",
  "Obs1", "Observed", "GroupB",
  "Obs2", "Observed", "GroupB",
  "Sim3", "Simulated", "GroupC",
  "Obs3", "Observed", "GroupC",
  "Sim4", "Simulated", "GroupD",
  "Obs4", "Observed", "GroupD",
  "Obs5", "Observed", "GroupD",
  "Sim5", "Simulated", "GroupE",
  "Sim6", "Simulated", "GroupE",
  "Obs7", "Observed", "GroupE",
  "Sim7", "Simulated", "GroupF",
  "Sim8", "Simulated", "GroupF",
  "Obs8", "Observed", "GroupF",
  "Obs9", "Observed", "GroupF",
  "Sim9", "Simulated", NA,
  "Obs10", "Observed", NA
)

# original
df

# transformed
ospsuite:::.removeUnpairableDatasets(df)

Open-Systems-Pharmacology/OSPSuite-R documentation built on Feb. 14, 2025, 4:48 p.m.