calculateSimTrialMeans: Calculate Simulated Trial Means

Description Usage Arguments Details Value Author(s)

Description

Calculate mean simulated responses by replicate

Usage

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calculateSimTrialMeans(data, 
  respCol = getEctdColName("Response"),
  bVar = doseCol, 
  subset = NULL, 
	diffBase = FALSE, 
  idCol = getEctdColName("Subject"), 
  timeCol = getEctdColName("Time"), 
	doseCol = getEctdColName("Dose"), 
  replicateCol = getEctdColName("Replicate"), 
	respType = c("Continuous", "Categorical"), 
  catType = c("Proportion", "Count"), 
	fillRespRange = TRUE, 
  digits = 3) 

Arguments

data

Simulated trial data frame

respCol

Response column names (given by getEctdColName by default)

bVar

Variables by which means should be produced ("Dose" by default)

subset

Subsets to be applied to the data before calculating the means

diffBase

Logical: Should differences from baseline be summarised instead of raw data?

idCol

Subject column names (given by getEctdColName by default)

timeCol

Time column names (given by getEctdColName by default)

doseCol

Dose column names (given by getEctdColName by default)

replicateCol

Replicate column names (given by getEctdColName by default)

respType

Response type: Continuous (default) or Categorical

catType

For Categorical response, should "Count" (default) or "Proportion" summary be returned?

fillRespRange

For Categorical response, should we "fill" the range of responses (see below)

digits

Number of digits to round summary data

Details

The inputs are checked, and the alpha value is parsed using checkSimAlpha Subsets are applied to the data if "subset" is specified and differences from baseline are calculated using calculateDiffsFromBase if required

If respType is "Continuous": * Mean responses are calculated by Replicate (replicateCol), Subject (idCol), Dose (doseCol), Time (timeCol), and any by variables (bVar) * Means of these means are then calculated by Replicate (replicateCol) and any by variables (bVar) * The data is rounded (digits) and returned

When dealing with categorical responses, it is possible that the unique set of responses could be (say): 1, 2, 4, 5 In this case, it is unclear as to whether the value "3" should be included in a summary. If "fillRespRange" is TRUE, it would be included (although would have a count/proportion of zero) Frequencies are calculated by "Response level" (respCol) and any by variables Frequences are converted to proportions (within by variable level) if required (catType)

Value

A data frame of trial "means"

Author(s)

Mike K Smith mstoolkit@googlemail.com


MSToolkit documentation built on May 2, 2019, 6:30 p.m.