rxCbindStudyIndividual function

Bind the study parameters and individual parameters

rxCbindStudyIndividual(studyParameters, individualParameters)

Arguments

• studyParameters: These are the study parameters, often can be generated by sampling from a population. This can be either a matrix or a data frame
• individualParameters: A data frame of individual parameters

Returns

Data frame that can be used in rxode2 simulations

Examples

# Function for coverting coefficient of covariance into a variance
lognCv <- function(x){log((x/100)^2+1)}

set.seed(32)

nSub  <-  100
nStud  <-  10

#define theta
theta <- c(lka=log(0.5), # log ka
          lCl=log(5), # log Cl
          lV=log(300) # log V
          )

#define theta Matrix
thetaMat <- lotri(lCl ~ lognCv(5),
                 lV  ~ lognCv(5),
                 lka ~ lognCv(5))

nev <- nSub*nStud

ev1 <- data.frame(COV1=rnorm(nev,50,30),COV2=rnorm(nev,75,10),
                  COV3=sample(c(1.0,2.0),nev,replace=TRUE))

tmat <-rxRmvn(nStud, theta[dimnames(thetaMat)[[1]]], thetaMat)

rxCbindStudyIndividual(tmat, ev1)

Author(s)

Matthew Fidler