longitudinalData (version 2.1.2)

windowsCut: ~ Function: windowsCut ~

Description

windowsCut prepare an object ParWindows according to its arguments.

Usage

windowsCut(x, addLegend = TRUE,closeScreen=TRUE)

Arguments

x

[numeric] or [couple(numeric)]: x is used to calculate the fields nbCol and nbRow of the object ParWindows. If x is a couple, then x[1] is

addLegend

[logical]: If addLegendis true, an extra space is reserved on the top of the screen to print the legend.

closeScreen

[logical]: Some function need to add details on a graph. This option let them call a plot function that will not call a close.screen on exit, so the graph will be modifiable.

Value

• An object of class ParWindows.

Author

Christophe Genolini 1. UMR U1027, INSERM, Universit� Paul Sabatier / Toulouse III / France 2. CeRSM, EA 2931, UFR STAPS, Universit� de Paris Ouest-Nanterre-La D�fense / Nanterre / France

Details

If x is a number of variable, the column and row number are estimate according to the formula nbCol <- ceiling(sqrt(x)) and nbRow <- ceiling(x/nbCol).

References

[1] C. Genolini and B. Falissard "KmL: k-means for longitudinal data" Computational Statistics, vol 25(2), pp 317-328, 2010 [2] C. Genolini and B. Falissard "KmL: A package to cluster longitudinal data" Computer Methods and Programs in Biomedicine, 104, pp e112-121, 2011

Examples

### Simple cut with no space for legent
  windowsCut(3,FALSE)
  windowsCut(4,FALSE)
  windowsCut(5,FALSE)

  ### Simple cut with legend
  windowsCut(5)