plot.saviTest: Plots the saviTest object for sequential analyses
In safestats: Safe Anytime-Valid Inference

plot.safeTest

R Documentation

Plots the saviTest object for sequential analyses

Description

Plots the saviTest object for sequential analyses

Usage

## S3 method for class 'saviTest'
plot(
  x,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  xlim = NULL,
  ylim = NULL,
  lwd = 3,
  cex = 1.3,
  fillPlot = NULL,
  switchNFill = 10000,
  logScale = NULL,
  switchNLog = 30,
  h0Colour = "darkgrey",
  overColour = "#8FC6E3",
  overColourBorder = "#1F78B4E6",
  underColour = "#E7A72199",
  underColourBorder = "#BD8E17FF",
  continueColour = "#8CA252E6",
  continueColourBorder = "#637939E6",
  col = overColour,
  border = overColourBorder,
  wantConfSeqPlot = FALSE,
  add = FALSE,
  density = NULL,
  angle = 45,
  xaxt = NULL,
  yaxt = NULL,
  fillOddEven = FALSE,
  runInt = TRUE,
  wantRelevance = NULL,
  ...
)

Arguments

`x`	designObj
`main`	character string for the title of plot
`xlab`	character string for the x-axis
`ylab`	character string for the y-axis
`xlim`	vector of length 2 specifying the range of the x-axis
`ylim`	vector of length 2 specifying the range of the y-axis
`lwd`	The line width, a positive number, defaulting to 2.
`cex`	size of the labels and the quantile text
`fillPlot`	logical, if TRUE then plot the confidence sequence with a background colour
`switchNFill`	integer, if `is.null(fillPlot)`, then fill if the number of samples is smaller than switchNFill
`logScale`	logical, if TRUE then plot on the logscale
`switchNLog`	integer, if `is.null(logScale)`, then plot on the log scale if the number of samples is larger than switchNLog
`h0Colour`	Colour to indicate the null hypothesis.
`col`	The colour for filling the anytime-valid confidence interval.
`border`	The colour to draw the border.
`wantConfSeqPlot`	logical, if `TRUE` then plot the confidence sequence instead of the e-value progression
`add`	logical, default `FALSE` so a new plot is made. If `TRUE` and `wantConfSeqPlot==FALSE` then adds the e-value progression line to an existing plot. If TRUE and `wantConfSeqPlot==TRUE` then adds another anytime-valid confidence sequence.
`density`	the density of shading lines, in lines per inch. The default value of `NULL` means that no shading lines are drawn. A zero value of density means no shading nor filling whereas negative values and `NA` suppress shading (and so allow colour filling).
`angle`	the slope of shading lines, given as an angle in degrees (anti-clockwise).
`fillOddEven`	logical controlling the polygon shading mode: see `polygon()` for details. Default `FALSE`.
`...`	further arguments to be passed to or from methods.
`overColour`	colour of an e-value sequence that cross the upper boundary of 1/alpha
`overColourBorder`	colour for the border of a rectangle in the histogram corresponding to e-values that cross the upper boundary of 1/alpha
`underColour`	colour of an e-value sequence that cross the lower boundary of alphaRelevance
`underColourBorder`	colour for the border of a rectangle in the histogram corresponding to e-values that cross the lower boundary of alphaRelevance
`continueColour`	colour for lines of e-values that did not (yet) cross a threshold
`continueColourBorder`	colour for the border of a rectangle in the histogram corresponding to e-values that did not (yet) cross a threshold
`xaxt`	default NULL. If "n" then suppresses plotting of the x-axis.
`yaxt`	default NULL. If "n" then suppresses plotting of the y-axis.
`runInt`	logical, if `TRUE` (default), then shows the running intersection of the confidence sequence.
`wantRelevance`	logical, if `FALSE`, then don't show the e-values for relevanceTest. Default `wantRelevance==NULL`, if `designObj[["relevanceTest"]]==TRUE` then relevance e-values tests are shown automatically.