superbPlot.circularpointlinejitter: superbPlot 'circularpointlinejitter' layout

In dcousin3/superb: Summary Plots with Adjusted Error Bars

superbPlot 'circularpointlinejitter' layout

Description

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

It has these parameters:

Usage

superbPlot.circularpointlinejitter(
  summarydata,
  xfactor,
  groupingfactor,
  addfactors,
  rawdata = NULL,
  pointParams = list(),
  lineParams = list(),
  jitterParams = 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_bar layer
jitterParams	(optional) list of graphic directives that are sent to the geom_bar 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 continuous or discrete (default is discrete)

Value

a ggplot object

Examples

# This will make a plot with points
superbPlot(ToothGrowth, 
   BSFactors = c("dose","supp"), variables = "len",
   plotStyle = "circularpointlinejitter" 
)

# if you extract the data with superbData, you can 
# run this layout directly
#processedData <- superbData(ToothGrowth, 
# BSFactors = c("dose","supp"), variables = "len"
#)
#
#superbPlot.circularpointlinejitter(processedData$summaryStatistic,
#   "dose",
#   "supp",
#   ".~.",
#   processedData$rawData)

dcousin3/superb documentation built on Dec. 23, 2024, 8:58 p.m.