Plot model and data represented by IQRsysModel

plot_IQRsysModel.Rd

Plot model and data represented by IQRsysModel

plot_IQRsysModel(
  sysModel,
  time = NULL,
  log = NULL,
  FLAGpred = TRUE,
  FLAGdata = TRUE,
  FLAGerror = NULL,
  FLAGgroupCONDITION = FALSE,
  FLAGrmPredWithoutData = TRUE,
  FLAGmultipage = FALSE,
  multipage.nrow = 2,
  multipage.ncol = 2,
  states = NULL,
  conditions = NULL,
  IDs = NULL,
  group = "ID"
)

Arguments

sysModel

IQRsysModel object

time

numeric vector from which time range is computed. The plot is restricted to this time frame.

log

NULL or character "x" (log x-axis), "y" (log y-axis), or "xy" (log x- and y-axis).

FLAGpred

logical, show model prediction

FLAGdata

logical, show data

FLAGerror

logical, show error bands and/or error bars. If NULL, FLAGerror is determined automatically. The error bands cover +- 1 standard deviation of the residual error - or in other words represent the 68.27\% CI.

FLAGgroupCONDITION

TRUE: Group by condition. FALSE: group by ID

FLAGrmPredWithoutData

logical, if TRUE (default) removes predictions if no data is available

FLAGmultipage

logical, default is FALSE, produces multipage output if TRUE.

multipage.nrow

number of rows for multipage output

multipage.ncol

number of columns for multipage output

states

character vector, the states to keep in the output.

conditions

character vector, the conditions to keep in the output.

IDs

integer vector, the IDs to keep in the output

group

(deprecated - use groupCONDITION) what to show grouped in one panel, either "ID" (default) or "CONDITION"

See also

Other QSP: IQRsysEst(), IQRsysModel(), IQRsysProject(), addOutputs_IQRmodel(), addRelations_IQRmodel(), as_IQRsysEst(), as_IQRsysProject(), as_IQRsysProjectMulti(), comparePars_IQRsysModel(), duplicate_IQRsysProject(), exportVariant_IQRmodel(), exportVirtualSubjects_IQRnlmeProject(), export_IQRsysData(), getDosing_IQRsysModel(), getEmpiricalETACovarianceMatrix_IQRsysProject(), getOptTrace_IQRsysProject(), getPars_IQRoptTrace(), getPars_IQRsysModel(), getPrediction_IQRsysModel(), hasrun_IQRsysProject(), importVariant_IQRmodel(), import_IQRsysData(), is_IQRsysEst(), is_IQRsysModel(), is_IQRsysProject(), is_IQRsysProjectMulti(), load_IQRsysProject(), modelSpec_IQRsysEst(), model_IQRsysModel(), offsetTIME_IQRsysData(), plotDVPRED_IQRsysModel(), plotFit_IQRsysModel(), plotPars_IQRsysModel(), plotPred_IQRsysModel(), plotProfile_IQRsysModel(), plotWRES_IQRsysModel(), plotWaterfall_IQRsysModel(), plot_IQRoptTrace(), print.IQRsensitivity(), print.IQRsysProject(), profile_IQRsysModel(), replaceTerms_IQRmodel(), run_IQRsysProject(), run_IQRsysProjectMulti(), sample_IQRsysModel(), sensitivity_IQRmodel(), setPars_IQRsysModel(), sim_IQRsysModel(), sim_IQRvirtualSubjects(), simbio_CSV2namedVector(), simbio_updateParamIC_IQRmodel(), spmIIV_IQRsysProject(), spm_IQRsysProject(), switchOpt_IQRsysModel(), tablePars_IQRsysModel()

Author

Daniel Kaschek, IntiQuan