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Validate and prepare data sets for simulation

Source: R/mrgindata.R
valid_data_set.Rd

This function is called by mrgsim() and friends to check and prepare input data sets for simulation. Users may also call this function to pre-validate data when the same data set is used for repeated simulation.

Usage

valid_data_set(x, m = NULL, verbose = FALSE, quiet = FALSE)

valid_data_set.matrix(x, verbose = FALSE)

Arguments

x

data.frame or matrix.

m

a model object.

verbose

logical.

quiet

if TRUE, messages will be suppressed.

Value

A matrix with non-numeric columns dropped; if x is a data.frame with character cmt column comprised of valid compartment names and m is a model object, the cmt column will be converted to the corresponding compartment number.

Details

An error will be issued when

  • non-numeric data is found in columns sharing names with model parameters

  • non-numeric data is found in reserved data items related to dosing (see mrgsolve:::GLOBALS$CARRY_TRAN)

  • a column is found that is "internally classed", including columns that inherit from integer64 (see is.object())

See also

valid_idata_set(), idata_set(), data_set()

Examples


mod <- mrgsolve::house()

data(exTheoph)

d <- valid_data_set(exTheoph, mod)