plotQQ

Producing Histograms

Usage

plotQQ(
  data = NULL,
  metaData = NULL,
  y = NULL,
  dataMapping = NULL,
  plotConfiguration = NULL,
  plotObject = NULL
)

Arguments

data

A data.frame to use for plot.

metaData

A named list of information about data such as the dimension and unit of its variables.

y

Numeric values to plot along the y axis. Only used instead of data if data is NULL.

dataMapping

A QQDataMapping object mapping y and aesthetic groups to their variable names of data.

plotConfiguration

An optional QQPlotConfiguration object defining labels, grid, background and watermark.

plotObject

An optional ggplot object on which to add the plot layer

Value

A ggplot object

See also

Other molecule plots: plotBoxWhisker(), plotCumulativeTimeProfile(), plotDDIRatio(), plotGrid(), plotHistogram(), plotObsVsPred(), plotObservedTimeProfile(), plotPKRatio(), plotPieChart(), plotResVsPred(), plotResVsTime(), plotSimulatedTimeProfile(), plotTimeProfile(), plotTornado()

Examples

# Produce QQ plot of normally distributed data
plotQQ(y = rnorm(100))


# Produce QQ plot of normally distributed data split by group
qqData <- data.frame(
  residuals = c(rnorm(100), rnorm(100)),
  groups = c(rep("Group A", 100), rep("Group B", 100))
)
plotQQ(
  data = qqData,
  dataMapping = QQDataMapping$new(y = "residuals", group = "groups")
)