Pass in a dataframe and columns to stack and have new dataframe returned that contains the stacked columns.
Usage
ru_stackvar(
dsetin,
sepc = "/",
splitc = "\\line",
varsin = NULL,
varout = NULL,
varlabel = NULL
)Author
Chris Rook, cr883296@gmail.com
Yongwei Wang, yongwei.x.wang@viivhealthcare.com
Examples
library(repfun)
library(dplyr)
datdir <- file.path(gsub("\\","/",tempdir(),fixed=TRUE),"datdir")
dir.create(datdir,showWarnings=FALSE)
repfun::copydata(datdir)
rfenv <- repfun::rs_setup(D_POPDATA=repfun::adsl %>% dplyr::filter(SAFFL =='Y'),
D_SUBJID=c("STUDYID","USUBJID"),
R_DICTION=NULL,
R_OTHERDATA=NULL,
R_INPUTDATA=NULL,
R_RAWDATA=NULL,
R_SDTMDATA=NULL,
R_ADAMDATA=datdir,
RetEnv=TRUE)
G_POPDATA <- rfenv$G_POPDATA %>%
dplyr::mutate(TRT01AN=ifelse(TRT01A=='Placebo',1,
ifelse(TRT01A=='Xanomeline Low Dose',2,3))) %>%
repfun::ru_labels(varlabels=list('TRT01AN'='Actual Treatment for Period 01 (n)'))
adae <- rfenv$adamdata$adae.rda() %>%
dplyr::inner_join(G_POPDATA, by=c('STUDYID','USUBJID','SAFFL','TRT01A'))
aesum_p <- repfun::ru_freq(adae,
dsetindenom=G_POPDATA,
countdistinctvars=c('STUDYID','USUBJID'),
groupbyvarsnumer=c('TRT01AN','TRT01A','AEBODSYS','AEDECOD'),
anyeventvars = c('AEBODSYS','AEDECOD'),
anyeventvalues = c('ANY EVENT','ANY EVENT'),
groupbyvarsdenom=c('TRT01AN'),
resultstyle="NUMERPCT",
totalforvar=c('TRT01AN'),
totalid=99,
totaldecode='Total',
codedecodevarpairs=c("TRT01AN", "TRT01A"),
varcodelistpairs=c(""),
codelistnames=list(),
resultpctdps=0) %>%
repfun::ru_denorm(varstodenorm=c("tt_result", "PERCENT"),
groupbyvars=c("tt_summarylevel", "AEBODSYS", "AEDECOD"),
acrossvar="TRT01AN", acrossvarlabel="TRT01A",
acrossvarprefix=c("tt_ac", "tt_p")) %>%
dplyr::mutate(ord1=ifelse(tt_summarylevel==0,0,1)) %>%
dplyr::rename(ord2=tt_summarylevel) %>%
dplyr::arrange(ord1,AEBODSYS,ord2,AEDECOD) %>%
dplyr::select(-c(starts_with('tt_p'),starts_with('ord'))) %>%
repfun::ru_stackvar(varsin=c('AEBODSYS','AEDECOD'),varout='SYSPREF',
varlabel='Body System/Preferred Term')