longitudinalData (version 2.4.7)

restoreRealData: ~ Function: restoreRealData ~

Description

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

Usage

restoreRealData(object)

Value

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

Arguments

object

[LongData]: Object containnig trajectories to restore.

Author

Christophe Genolini
1. UMR U1027, INSERM, Université Paul Sabatier / Toulouse III / France
2. CeRSME, EA 2931, UFR STAPS, Université de Paris Ouest-Nanterre-La Défense / 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)))
plotTrajMeans3d(ld1)

##################
### Scaling by 'mean' and 'standard deviation'
scale(ld1,scale=c(-1,-1))
plotTrajMeans3d(ld1)

##################
### Back to the first version of the data
restoreRealData(ld1)
plotTrajMeans3d(ld1)