Concatenate IQRrmd objects
combine_IQRdataGENERAL.Rd
Concatenate IQRrmd objects
combine_IQRdataGENERAL( data1, data2, FLAGkeepAllCols = FALSE, FLAGforceOverwriteNLMEcols = TRUE, methodBLOQ = NULL, FLAGforceOverwriteNUMcols = TRUE )
Arguments
data1 | IQRdataGENERAL object |
---|---|
data2 | IQRdataGENERAL object |
FLAGkeepAllCols | FALSE (default): resulting data object only contains common columns and but all covariate columns. TRUE: resulting dataset contains all columns present in any of the data set. NA imputed for non-common columns. |
FLAGforceOverwriteNLMEcols | TRUE (default): if NLME columns (see second table above) are present in the dataset they will be overwritten with default values. FALSE: they will not be overwritten and kept as they are - user has to ensure that their contents do make sense! |
methodBLOQ | Allows specification of the method for handling values below the lower limit of quantification. By default the "M1" method is used. Alternative settings are "M3", "M4", "M5", "M6", and "M7". |
FLAGforceOverwriteNUMcols | TRUE (default): Overwrites numerical columns (IND, STUDYN, TRT, TRTR) ensuring unique values for corresponding text columns (INDNAME, STUDY, TRTNAME, TRTNAMER) |
Value
Concatenated IQRdataGENERAL object
See also
Other IQRdataGeneral:
+.IQRdataGENERAL()
,
IQRcalcTAD()
,
IQRdataGENERAL()
,
IQRexpandADDLII()
,
IQRloadCSVdata()
,
IQRsaveCSVdata()
,
addIndivRegressors_IQRdataGENERAL()
,
addLabel_IQRdataGENERAL()
,
attributes0()
,
blloqInfo_IQRdataGENERAL()
,
blloq_IQRdataGENERAL()
,
check_IQRdataGENERAL()
,
clean_IQRdataGENERAL()
,
convertCat2Text()
,
covImpute_IQRdataGENERAL()
,
date2dateday_IQRdataProgramming()
,
date2datetime_IQRdataProgramming()
,
date2time_IQRdataProgramming()
,
exportDEFINE_IQRdataGENERAL()
,
exportDEFINEpdf_IQRdataGENERAL()
,
exportSYS_IQRdataGENERAL()
,
export_IQRdataGENERAL()
,
getLabels_dataframe()
,
getNAcolNLME_IQRdataGENERAL()
,
handleSameTimeObs_IQRdataGENERAL()
,
is_IQRdataGENERAL()
,
loadATRinfo_csvData()
,
loadAttributeFile()
,
load_IQRdataGENERAL()
,
mapCategoricalCovariate_IQRnlmeProject()
,
mapCategoricalCovariate_csvData()
,
mapContinuousCovariate_IQRnlmeProject()
,
mapContinuousCovariate_csvData()
,
mutateCov_IQRdataGENERAL()
,
obfuscate_IQRdataGENERAL()
,
plot.IQRdataGENERAL()
,
plotCorCat_IQRdataGENERAL()
,
plotCorCovCat_IQRdataGENERAL()
,
plotCorCov_IQRdataGENERAL()
,
plotCovDistribution_IQRdataGENERAL()
,
plotDoseSchedule_IQRdataGENERAL()
,
plotIndiv_IQRdataGENERAL()
,
plotRange_IQRdataGENERAL()
,
plotSampleSchedule_IQRdataGENERAL()
,
plotSpaghetti_IQRdataGENERAL()
,
print.IQRdataGENERAL()
,
removeCommata_dataframe()
,
rmAMT0_IQRdataGENERAL()
,
rmDosePostLastObs_IQRdataGENERAL()
,
rmIGNOREd_IQRdataGENERAL()
,
rmMissingTIMEobsRecords_IQRdataGENERAL()
,
rmNOobsSUB_IQRdataGENERAL()
,
rmNonTask_IQRdataGENERAL()
,
rmPLACEBO_IQRdataGENERAL()
,
rmSubjects_IQRdataGENERAL()
,
setIGNORErecords_IQRdataGENERAL()
,
setMissingDVobsRecordsIGNORE_IQRdataGENERAL()
,
subset.IQRdataGENERAL()
,
summary.IQRdataGENERAL()
,
summaryCat_IQRdataGENERAL()
,
summaryCov_IQRdataGENERAL()
,
summaryObservations_IQRdataGENERAL()
,
transformObs_IQRdataGENERAL()
,
unlabel_dataframe()