superbPlot 'circularline' layout

Source: R/functionsPlotting_circular.R

superb comes with a few circular layouts for making plots. It produces ggplot objects that can be further customized.

superbPlot.circularline(
  summarydata,
  xfactor,
  groupingfactor,
  addfactors,
  rawdata = NULL,
  pointParams = list(),
  lineParams = list(),
  errorbarParams = list(),
  facetParams = list(),
  radarParams = list(),
  xAsFactor = TRUE
)

Arguments

summarydata

a data.frame with columns "center", "lowerwidth" and "upperwidth" for each level of the factors;

xfactor

a string with the name of the column where the factor going on the horizontal axis is given;

groupingfactor

a string with the name of the column for which the data will be grouped on the plot;

addfactors

a string with up to two additional factors to make the rows and columns panels, in the form "fact1 ~ fact2";

rawdata

always contains "DV" for each participants and each level of the factors

pointParams

(optional) list of graphic directives that are sent to the geom_bar() layer

lineParams

(optional) list of graphic directives that are sent to the geom_line() layer

errorbarParams

(optional) list of graphic directives that are sent to the geom_superberrorbar() layer

facetParams

(optional) list of graphic directives that are sent to the facet_grid() layer

radarParams

(optional) list of arguments to the radar coordinates (seel coord_radial() ).

xAsFactor

(optional) Boolean to indicate if the factor on the horizontal should be continuous or discrete (default is discrete)

Value

a ggplot object

Details

A few things to note:

  • You can at any time undo the polar coordinates by using + coord_cartesian(). It is sometimes easier when developping the plots.

  • Also, if ever you want to modify the scale post-hoc (e.g., to change the labels of the group), you can, but your scale_x_continuous must absolutely contains the two arguments: scale_x_continuous( oob = scales::oob_keep, limits = c(0, 0.00001+ NUMBER OF CONDITIONS ), # any other argument such as labels = c("",...) )

It has these parameters:

Examples

# This will make a plot with lines
superb(
   len ~ dose + supp, 
   ToothGrowth, 
   plotStyle="circularline" 
)


# if you extract the data with superbData, you can 
# run this layout directly
#processedData <- superb(
#   len ~ dose + supp,
#   ToothGrowth, 
#   showPlot = FALSE
#)
#
#superbPlot.circularline(processedData$summaryStatistic,
#   "dose",
#   "supp",
#   ".~.",
#   processedData$rawData)