context("summarizeCovs") NMdataConf(reset=TRUE) if(FALSE){ ## file.mod <- "NMsim-forest-models/xgxr134.mod" file.mod <- "testData/nonmem/xgxr134.mod" doses <- NMcreateDoses(TIME=0,AMT=30,ADDL=100,II=24,col.id=NA) data.ref <- NMdata::NMscanData(file.mod,quiet=TRUE) covs <- expandCovs( AGE=list(ref=median,quantiles=c(10,25,75,90)/100,label="Age (years)"), ## notice, values OR quantiles can be provided WEIGHTB=list(ref=median, quantiles=c(10,25,75,90)/100, label="Bodyweigt (kg)"), MALEN=list(ref=c(Female=0), values=c(Male=1), label="Sex"), data=data.ref, as.fun="data.table" ) ## adding distinct ID's for each combination of covariates covs[,ID:=.GRP,by=.(type,covvar,covval)] covs dt.dos <- covs[,doses[],by=covs] dims(covs,doses,dt.dos) time.sim <- rbind( data.table(TIME=seq(0,24,.25),period="Day 1"), data.table(TIME=seq(0,24,.25)+30*24,period="Steady-State") ) dt.sim <- addEVID2(dt.dos,TIME=time.sim,CMT=2) dims(dt.dos,time.sim,dt.sim) simres <- NMsim(file.mod # path to NONMEM model ,data=dt.sim, # simulation dataset ,dir.sims="testOutput/simtmp", ,dir.res="testData/simres", ,name.sim="forest1" # output name suffix ,method.sim=NMsim_NWPRI # sampling with mvrnorm ,subproblems=3 ,typical=TRUE # FALSE to include BSV ,table.vars=cc(PRED,IPRED) # output table variables ,seed.R=342 # seed for reproducibility ) } test_that("basic",{ fileRef <- "testReference/summarizeCovs_01.rds" simres <- NMreadSim("testData/simres/xgxr134_forest1_MetaData.rds") funs.exposure <- list( "Cmax"=function(x) max(x$IPRED) ## ,"AUC"=function(x) trapez(x$TIME,x$IPRED) ## ,"Concentration at 4 hours"=function(x) x$value[x$TAPD==4] ) res <- summarizeCovs(simres, funs.exposure = funs.exposure, by=cc(period), cover.ci=.95) expect_equal_to_reference(res,fileRef) if(FALSE){ ref <- readRDS(fileRef) ref res } }) test_that("zero refs",{ fileRef <- "testReference/summarizeCovs_02.rds" ## simres <- NMreadSim("testOutput/xgxr134_forest1_MetaData.rds") simres <- NMreadSim("testData/simres/xgxr134_forest1_MetaData.rds") funs.exposure <- list( "Cmax"=function(x) max(x$IPRED), "Cmin"=function(x) min(x$IPRED) ## ,"AUC"=function(x) trapez(x$TIME,x$IPRED) ## ,"Concentration at 4 hours"=function(x) x$value[x$TAPD==4] ) res <- expect_warning( summarizeCovs(simres, funs.exposure = funs.exposure, by=cc(period), cover.ci=.95 ) ) expect_equal_to_reference(res,fileRef) if(FALSE){ ref <- readRDS(fileRef) ref res } })