xdc.plot.mx: Plot a Mixture

In robustanalytics/xdc: Decomposing Gaussian mixture distributions into potentially overlapping components

Description

Plotting a Gaussian mixture based on its parameter specifications (supporting an arbitrary number of mixture components)

Usage

xdc.plot.mx(mx, hist = c(), df = c(), mod = "", colors = c())

Arguments

mx,	the mixture specification in 3-col format, i.e., a data frame with three columns (mean, sd, weight)
hist,	optional, may be specified as the output of the xdc.hist.data function. If specified, the histogram of the data will be plotted as a dotted line. The x range of the histogram will also be used for the entire plot
df,	optional, will only be used if mod is also specified, so as to plot multiple lines for different subsets of data. df should be a data frame with at least two columns: es and si. It could also contain a column marking the moderator.
mod,	optional, could be a vector containing the moderator variable. Alternatively, it could specify a column or any expression over the columns in df
colors,	optional, specifying the colors used to plot the lines corresponding to the moderator levels. default to a few high-contrast colors followed by rainbow()

Value

displays a line chart with the PDF of the mixture distribution and, optionally, the histogram of the data

robustanalytics/xdc documentation built on Sept. 4, 2020, 12:37 a.m.