Learn R Programming

provenance (version 0.1)

summaryplot: Joint plot of several provenance datasets

Description

Arranges kernel density estimates and pie charts in a grid format

Usage

summaryplot(..., ncol = 1)

Arguments

...
a sequence of datasets of class HMdata, KDEs, or DZdata
ncol
the number of columns

Value

  • a summary plot of all the data comprised of KDEs for the datasets of class KDEs, pie charts for those of class HMdata and histograms for those of class DZdata.

Examples

Run this code
DZ <- read.DZdata(system.file("DZ.csv",package="provenance"))
KDEs <- getKDEs(DZ,0,3000)
HM <- read.HMdata(system.file("HM.csv",package="provenance"))
PT <- read.HMdata(system.file("PT.csv",package="provenance"))
summaryplot(KDEs,HM,PT,ncol=2)

Run the code above in your browser using DataLab