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

Value

Data frame that can be used in RxODE simulations

Author

Matthew Fidler

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))
#> Error: matrix expression should be 'name ~ c(lower-tri)'


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)
#> Error in rxRmvn(nStud, theta[dimnames(thetaMat)[[1]]], thetaMat) object 'thetaMat' not found

rxCbindStudyIndividual(tmat, ev1)
#> Error in rxCbindStudyIndividual(tmat, ev1) object 'tmat' not found