Create publication-ready plots using the tidyplots framework with extensive customization options, statistical features, and advanced visualization capabilities. Comprehensive implementation of tidyplots for jamovi with advanced statistical visualization features including multiple plot types, statistical testing, and extensive customization options.
Usage
tidyplots(
data,
xvar,
yvar,
color,
group,
facet,
plotType = "points",
pointType = "basic",
lineType = "direct",
barType = "mean",
showMean = FALSE,
meanType = "dash",
showMedian = FALSE,
medianType = "dash",
showSEM = FALSE,
showSD = FALSE,
showCI = FALSE,
ciType = "errorbar",
showRange = FALSE,
showDistribution = FALSE,
distributionType = "density",
showOutliers = TRUE,
violinPoints = FALSE,
histogramBins = 30,
areaType = "absolute",
showPValue = FALSE,
showSignificance = FALSE,
colorScheme = "friendly",
alpha = 1,
fontSize = 12,
plotTitle = "",
xLabel = "",
yLabel = "",
legendTitle = "",
removeLegend = FALSE,
removePadding = FALSE,
removeXAxis = FALSE,
removeXAxisLabels = FALSE,
removeXAxisTitle = FALSE,
removeYAxis = FALSE,
removeYAxisLabels = FALSE,
removeYAxisTitle = FALSE
)Arguments
- data
The data as a data frame.
- xvar
.
- yvar
.
- color
.
- group
.
- facet
.
- plotType
.
- pointType
.
- lineType
.
- barType
.
- showMean
.
- meanType
.
- showMedian
.
- medianType
.
- showSEM
.
- showSD
.
- showCI
.
- ciType
.
- showRange
.
- showDistribution
.
- distributionType
.
- showOutliers
.
- violinPoints
.
- histogramBins
.
- areaType
.
- showPValue
.
- showSignificance
.
- colorScheme
.
- alpha
.
- fontSize
.
- plotTitle
.
- xLabel
.
- yLabel
.
- legendTitle
.
- removeLegend
.
- removePadding
.
- removeXAxis
.
- removeXAxisLabels
.
- removeXAxisTitle
.
- removeYAxis
.
- removeYAxisLabels
.
- removeYAxisTitle
.