In philipdelff/NMdata: Preparation, Checking and Post-Processing Data for PK/PD Modeling

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Programming

cc - create character vectors without typing quotations unless special characters are used

cc(A , B, "A-B")

Imagine you want to plot random effects against covariates. findCovs and findVars are fast functions that extract the columns that vary a given level of variability (between subjects, between occasions).

findCovs - Extract columns that do not vary within values of other columns

## columns that don't vary at all. Could be a study number or an ETA that is not used.
(model.level <- findCovs(pk))
## columns that don't vary within subjects (by can be of arbitrary length)
id.level <- findCovs(pk,by="ID")

findVars - Extract columns that vary within values of other columns

## in id.level, some do not vary between ID's so in fact they are model-level. Discard those
actual.id.level <- findVars(id.level,by="ID")
## find occasion level variability - columns that do vary between ID but do not vary with ID+OCC.
occ.level <- findCovs(findVars(pk,"ID"),c("ID","OCC"))

NMextractDataFile - Get the file path to the input data file used in a NONMEM control stream

NMisNumeric - Test whether a column or the individual values in a column/vector are compatible with NONMEM (interpretable as numeric)

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philipdelff/NMdata documentation built on March 5, 2025, 12:20 a.m.