stackedDenistyPlot: A function to create stacked density plot using ggplot
In haoeric/StackedDensityPlot: Build Overlapping Stacked Denisty Plot

Description Usage Arguments Value Examples

A function to create stacked density plot using ggplot

stackedDenistyPlot(data, densityColNames, stackFactor, stackColor,
  kernel = c("gaussian", "epanechnikov", "rectangular", "triangular",
  "biweight", "cosine", "optcosine"), bw = "nrd0", adjust = 1,
  reomoveOutliers = FALSE, stackRotation = 0, stackSeperation = "auto",
  x_text_size = 2, strip_text_size = 7, legend_text_size = 0.5,
  legendRow = 1, legend_title = "stackName", legend_title_size = 1,
  legend_key_size = 0.2)

`data`	Data frame containing columns for density calculation.
`densityColNames`	The column names of those passed to density calculation.
`stackFactor`	A factor to create the stacks, length equalt to number of rows in data.
`stackColor`	Default use rainbow colour palette, but can be specified manually.
`kernel`	kernel applied for density calculation, includes "gaussian", "epanechnikov", "rectangular", "triangular", "biweight", "cosine", "optcosine".
`bw`	The smoothing bandwidth to be used. The default, "nrd0", has remained the default for historical and compatibility reasons, rather than as a general recommendation, where e.g., "SJ" would rather fit.
`adjust`	The bandwidth used is actually adjust*bw.
`reomoveOutliers`	If coerce the outliers to 1.5*IQR level.
`stackRotation`	How many degrees to rotate the density stacks.
`stackSeperation`	Adjust the stack height intervels, use "auto" for automatic adjustment; or specify a value form 0 to 1 times the median height of to all density plots.
`x_text_size`	Adjust the text size on x ticks.
`strip_text_size`	Adjust the text size on strip.
`legend_text_size`	Adjust the text size on legend.
`legendRow`	The number of rows of the legend.
`legend_title`	The title of the legend.
`legend_title_size`	The size of the legend title.
`legend_key_size`	Adjust the size of the legend key.

a ggplot object

data <- iris[ ,1:4]
densityColNames <- colnames(data)
stackFactor <- iris[ ,5]
stackedDenistyPlot(data, densityColNames, stackFactor, strip_text_size = 9, legend_text_size = 0.8, legend_key_size = 0.15)