superbPlot.corset: superbPlot 'corset' layout

In dcousin3/superb: Summary Plots with Adjusted Error Bars

superbPlot 'corset' layout

Description

superbPlot comes with a few built-in templates for making the final plots. The corset plot is specifically devised for 2-repeated-measure design: it merges the "pointindividualline" layout with a raincloud layout \insertCitekb21superb. All layout produces ggplot objects that can be further customized. Additionally, it is possible to create custom-make templates (see vignette 5). The functions, to be "superbPlot-compatible", must have these parameters:

Usage

superbPlot.corset(
  summarydata,
  xfactor,
  groupingfactor,
  addfactors,
  rawdata = NULL,
  lineParams = list(),
  pointParams = list(),
  errorbarParams = list(),
  jitterParams = list(),
  violinParams = list(),
  facetParams = 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;
lineParams	(optional) list of graphic directives that are sent to the geom_line layer;
pointParams	(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;
jitterParams	(optional) list of graphic directives that are sent to the geom_jitter layer;
violinParams	(optional) list of graphic directives that are sent to the geom_boxplot layer;
facetParams	(optional) list of graphic directives that are sent to the facet_grid layer;
xAsFactor	(optional) Boolean to indicate if the factor on the horizontal should continuous or discrete (default is discrete).

Value

a ggplot object

References

\insertAllCited

Examples

# We first generate randomly a 2-measurement dataset with 50 participants and a large effect
dta <- GRD(SubjectsPerGroup = 50, WSFactors = "moment(2)", Effects = list("moment"=slope(3)))

# This will make a basic corset plot 
superb(
   cbind(DV.1, DV.2) ~ .,
   dta, 
   WSFactors = "moment(2)", 
   plotStyle = "corset" 
)

# This will color the increasing and decreasing individuals
superb(
   cbind(DV.1, DV.2) ~ ., 
   dta, 
   WSFactors = "moment(2)", 
   plotStyle = "corset",
   lineParams = list(colorize=TRUE) 
)

# This layout has similarities with the "pointindividualline" layout
superb(
   cbind(DV.1, DV.2) ~ ., 
   dta, 
   WSFactors = "moment(2)", 
   plotStyle = "pointindividualline" 
)

# if you extract the data with superbData, you can 
# run this layout directly
processedData <- superb(
   cbind(DV.1, DV.2) ~ ., 
   dta, 
   WSFactors = "moment(2)", 
   showPlot  = FALSE
)

superbPlot.corset(processedData$summaryStatistic, 
   "moment", NULL, ".~.", 
   processedData$rawData, 
   lineParams = list(colorize=TRUE) )

dcousin3/superb documentation built on Oct. 29, 2024, 5:28 p.m.