performNorm: Perform normalization of the covariate

In nlmixr: Nonlinear Mixed Effects Models in Population PK/PD

Perform normalization of the covariate

Description

Perform normalization of the covariate

Usage

performNorm(
  data,
  covariate,
  varName,
  normOp,
  normValVec,
  isLog = FALSE,
  isCat = FALSE,
  isHS = FALSE
)

Arguments

data	a dataframe consisting the covariates added
covariate	a string giving the covariate name; must be present in the data used for 'fit'
varName	the variable name to which the covariate is being added
normOp	an operator indicating the kind transformation to be done on the covariate
normValVec	a numeric value to be used for normalization of the covariate
isLog	a boolean indicating the presence of log-transformation in the funstring; default is FALSE
isCat	a boolean indicating if the covariate is categorical; default is FALSE
isHS	a boolean indicating if the covariate is of Hockey-stick kind; default is FALSE

Value

a list comprising the update dataframe, the expression for covariate, and a list of covariate names

Author(s)

Vipul Mann, Matthew Fidler

nlmixr documentation built on March 27, 2022, 5:05 p.m.