Each covariate is univariately varied while other covariates are kept at reference values. This structure is often used for forest-plot type simulations.
Arguments
- ...
Covariates provided as lists - see examples. The name of the arguement must match columns in data set. An element called ref must contain either a reference value or a function to use to derive the reference value from data (e.g. `median`). Provide either `values` or `quantiles` to define the covariate values of interest (typically, the values that should later be simulated and maybe shown in a forest plot). `label` is optional - if missing, the argument name will be used. If quantiles are requested, they are derived after requiring unique values for each subject.
- data
A data set needed if the reference(s) value of one or more covariates is/are provided as functions (like median), or if covariate values are provided as quantiles.
- col.id
The subject ID column name. Necessary because quantiles sould be quantiles of distribution of covariate on subjects, not on observations (each subject contributes once).
- sigdigs
Used for rounding of covariate values if using quantiles or if using a function to find reference.
- as.fun
The default is to return data as a data.frame. Pass a function (say `tibble::as_tibble`) in as.fun to convert to something else. If data.tables are wanted, use as.fun="data.table". The default can be configured using NMdataConf.
Examples
if (FALSE) { # \dontrun{
file.mod <- system.file("examples/nonmem/xgxr134.mod",package="NMdata")
res <- NMdata::NMscanData(file.mod)
expandCovLists(
WEIGHTB=list(ref=70,values=c(40,60,80,100),label="Bodyweight (kg)"),
## notice, values OR quantiles can be provided
AGE=list(ref=median, quantiles=c(10,25,75,90)/100, label="Age (years)"
),
data=res
)
} # }