longitudinalData (version 2.0)

restaureRealData: ~ Function: restaureRealData ~

Description

This function revert the effect of scale by restauring the initial values of trajectories.

Usage

restaureRealData(object)

Arguments

object

[LongData]: Object containnig trajectories to restaure.

Value

• None: this function change internaly the field of an object, it does not return any values.)

Author

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

Details

This function revert the effect of scale by restauring the initial values of trajectories.

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

See Also

scale

Examples

##################
### Building LongData

time=c(1,2,3,4,8,12,16,20)
id2=1:12
f <- function(id,t)((id-1)%%3-1) * t
g <- function(id,t)(id%%2+1)*t
ld1 <- longData3d(array(cbind(outer(id2,time,f),outer(id2,time,g))+rnorm(12*8*2,0,1),dim=c(12,8,2)))
plot3d(ld1)

##################
### Scaling by 'mean' and 'standard deviation'
scale(ld1,scale=c(-1,-1))
plot(ld1)

##################
### Back to the first version of the data
restaureRealData(ld1)
plot(ld1)