Plot correlation of continuous covariates in an IQRdataGENERAL object
plotCorCov_IQRdataGENERAL.Rd
By default all time-independent continuous covariates will be considered. The user can define a subset or other columns to consider. If such columns are time-varying, only the first recorded value will be used.
plotCorCov_IQRdataGENERAL(
data,
covNames = NULL,
scale = "linear",
filename = NULL,
CORR_THRESHOLD = 0.3,
fontSize = NULL,
FLAGreturnObject = TRUE,
FLAGcheck = TRUE
)
Arguments
- data
IQRdataGENERAL object
- covNames
Names (columns) of continuous covariates and other columns to include in graphical exploration. If NULL (default) all time-independent continuous covariates will be used.
- scale
Defines whether to plot on linear or logarithmic scales: Either "log", "linear" or named (covariate column names) vector of "log" and "linear" entries for scaling covariates differently. Defaults to linear scale.
- filename
String for PDF file to print graphs to. If NULL (default) PDF is not produced.
- CORR_THRESHOLD
Threshold for abs(correlation) when plotted in red background.
- fontSize
Allows to provide font size information in case the automatic adjustment is not acceptable
- FLAGreturnObject
Flag whether to return graph object or not (default).
- FLAGcheck
Flag whether to check if data is of type IQRdataGENERAL (default: TRUE).
See also
Other IQRdataGeneral:
+.IQRdataGENERAL()
,
IQRcalcTAD()
,
IQRdataGENERAL()
,
IQRexpandADDLII()
,
IQRloadCSVdata()
,
IQRsaveCSVdata()
,
addIndivRegressors_IQRdataGENERAL()
,
addLabel_IQRdataGENERAL()
,
attributes0()
,
blloqInfo_IQRdataGENERAL()
,
blloq_IQRdataGENERAL()
,
check_IQRdataGENERAL()
,
clean_IQRdataGENERAL()
,
combine_IQRdataGENERAL()
,
convertCat2Text()
,
covImpute_IQRdataGENERAL()
,
date2dateday_IQRdataProgramming()
,
date2datetime_IQRdataProgramming()
,
date2time_IQRdataProgramming()
,
exportDEFINE_IQRaedataER()
,
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()
,
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()
Other IQRdataGeneral:
+.IQRdataGENERAL()
,
IQRcalcTAD()
,
IQRdataGENERAL()
,
IQRexpandADDLII()
,
IQRloadCSVdata()
,
IQRsaveCSVdata()
,
addIndivRegressors_IQRdataGENERAL()
,
addLabel_IQRdataGENERAL()
,
attributes0()
,
blloqInfo_IQRdataGENERAL()
,
blloq_IQRdataGENERAL()
,
check_IQRdataGENERAL()
,
clean_IQRdataGENERAL()
,
combine_IQRdataGENERAL()
,
convertCat2Text()
,
covImpute_IQRdataGENERAL()
,
date2dateday_IQRdataProgramming()
,
date2datetime_IQRdataProgramming()
,
date2time_IQRdataProgramming()
,
exportDEFINE_IQRaedataER()
,
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()
,
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()