View source: R/functionsPlotting_base.R
superbPlot.point | R Documentation |
superbPlot comes with a few built-in templates for making the final plots. All produces ggplot objects that can be further customized. Additionally, it is possible to add custom-make templates (see vignette 6). The functions, to be "superbPlot-compatible", must have these parameters:
superbPlot.point(
summarydata,
xfactor,
groupingfactor,
addfactors,
rawdata = NULL,
pointParams = list(),
errorbarParams = list(),
facetParams = list(),
xAsFactor = TRUE
)
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 |
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 |
xAsFactor |
(optional) Boolean to indicate if the factor on the horizontal should continuous or discrete (default is discrete) |
a ggplot object
# This will make a plot with points
superbPlot(ToothGrowth,
BSFactors = c("dose","supp"), variables = "len",
plotStyle = "point"
)
# if you extract the data with superbData, you can
# run this layout directly
#processedData <- superbData(ToothGrowth,
# BSFactors = c("dose","supp"), variables = "len"
#)
#
#superbPlot.point(processedData$summaryStatistic,
# "dose",
# "supp",
# ".~.",
# processedData$rawData)
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