Summarize simulated exposures relative to reference subject

Usage

summarizeCovs(data, funs.exposure, cols.value, cover.ci = 0.95, by, as.fun)

Arguments

data: Simulated data to process. This data.frame must contain must contain multiple columns, as defined by NMsim::expandCovs().
funs.exposure: A named list of functions to apply for derivation of exposure metrics.
cols.value: The default is to run exposure metrics based on the `PRED` column. Specify another or multiple columns to run the analysis on.
cover.ci: The coverage of the confidence intervals. Default is 0.95.
by: a character vector of names columns to perform all calculations by. This could be sampling subsets or analyte.
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()`.

Value

A data.frame

Details

These columns are expected to be present, and differences within any of them will lead to separate summarizing (say for a s covariate value to be plotted): cc(model,type,pred.type,covvar,covlabel,covref,covval)