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Plots a dataset.

Usage

# S3 method for Dataset
plot(
  x,
  y,
  ...,
  main = "Dataset",
  xlab = "Stage",
  ylab = NA_character_,
  legendTitle = "Group",
  palette = "Set1",
  showSource = FALSE,
  plotSettings = NULL
)

Arguments

x

The Dataset object to plot.

y

Not available for this kind of plot (is only defined to be compatible to the generic plot function).

...

Optional plot arguments. At the moment xlim and ylim are implemented for changing x or y axis limits without dropping data observations.

main

The main title, default is "Dataset".

xlab

The x-axis label, default is "Stage".

ylab

The y-axis label.

legendTitle

The legend title, default is "Group".

palette

The palette, default is "Set1".

showSource

Logical. If TRUE, the parameter names of the object will be printed which were used to create the plot; that may be, e.g., useful to check the values or to create own plots with the base R plot function. Alternatively showSource can be defined as one of the following character values:

  • "commands": returns a character vector with plot commands

  • "axes": returns a list with the axes definitions

  • "test": all plot commands will be validated with eval(parse()) and returned as character vector (function does not stop if an error occurs)

  • "validate": all plot commands will be validated with eval(parse()) and returned as character vector (function stops if an error occurs)

Note: no plot object will be returned if showSource is a character.

plotSettings

An object of class PlotSettings created by getPlotSettings().

Value

Returns a ggplot2 object.

Details

Generic function to plot all kinds of datasets.

Examples

# Plot a dataset of means
dataExample <- getDataset(
    n1 = c(22, 11, 22, 11),
    n2 = c(22, 13, 22, 13),
    means1 = c(1, 1.1, 1, 1),
    means2 = c(1.4, 1.5, 3, 2.5),
    stDevs1 = c(1, 2, 2, 1.3),
    stDevs2 = c(1, 2, 2, 1.3)
)
if (FALSE) {
if (require(ggplot2)) plot(dataExample, main = "Comparison of Means")
}

# Plot a dataset of rates
dataExample <- getDataset(
    n1 = c(8, 10, 9, 11),
    n2 = c(11, 13, 12, 13),
    events1 = c(3, 5, 5, 6),
    events2 = c(8, 10, 12, 12)
)
if (FALSE) {
if (require(ggplot2)) plot(dataExample, main = "Comparison of Rates")
}