plotMeans: ~ Function: plotMeans for ClusterLongData ~
In kml: K-Means for Longitudinal Data

plotMeans,ClusterLongData

R Documentation

~ Function: plotMeans for ClusterLongData ~

Description

plotMeans plots the means' trajectories of an object ClusterLongData relatively to a Partition.

Usage

## S4 method for signature 'ClusterLongData,ANY'
plotMeans(x,y,parMean=parMEAN(),
   parWin=windowsCut(x['nbVar'],addLegend=TRUE),...)

Arguments

`x`	`[ClusterLongData]`: Object containing the trajectories to plotMeans.
`y`	`[numeric]` or `[vector(numeric)]`: Give the `Partition` to represent. If `y` is a number, the first `Partition` of the sublist `c-y` is selected. If `y` is a couple of numeric, the `y[2]`th `Partition` of the sublist `c-y[1]` is selected (so `y=c(2,3)` select the partition with 2 clusters, the third one).
`parMean`	`[ParLongData]`: Specification of the plotting parameters of the mean trajectories. Fields that can be changes are 'type','col','pch','pchPeriod' and 'cex'. See `ParLongData` in package `longitudinalData` for details.
`parWin`	`[parWindows]`: Set the graphical display of the windows. See `ParWindows` in package `longitudinalData` for details.
`...`	Some other parameters can be passed to the method.

Details

plotMeans plots the means' trajectories of an object ClusterLongData relativly to the 'best' Partition, or to the Partition define by y.

Graphical option (col, type, pch, pchPeriod and cex) can be change using parMean. For more detail on parTraj and parMean, see object of class ParLongData in package longitudinalData.

Examples

### Move to tempdir
wd <- getwd()
setwd(tempdir()); getwd()

##################
### Construction of the data

ld <- gald(10)
kml(ld,3:4,2)

### Basic plotMeansting
plotMeans(ld,3)

### Go back to current dir
setwd(wd)

kml documentation built on Oct. 30, 2024, 9:09 a.m.