kml (version 1.1.3)

choice: ~ Function: choice ~

Description

choice lets the user choose some Clusterization he wants to export.

Usage

choice(Object, typeGraph = "bmp",...)

Arguments

Object

[ClusterizLongData]: Object containnig the trajectories and all the clusterizations found by kml from whom the user want to export some Clusterization.

typeGraph

[character] for every selected clusterization, choice export some graphes. type set the format that will be used. Possible formats are the one available for

...

Value

• For each selected Clusterization, a folder containing four files.

Author(s)

Christophe Genolini PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health INSERM U669 / Maison de Solenn / Paris Contact author:

English translation

Rapha�l Ricaud Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory University of Paris 10 / Nanterre

Details

choice is a function that let the user see the Clusterization found by kml. At first, choice open a graphics window. On the left side are the calinski criterion of all the Clusterization contain in Object. One Clusterization is 'active', it is the one marked by a black dot. On the right side, the trajectories of Object are drawn, according to the active Clusterization. From there, choice offert numerous option : [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object] Note that the letter on the upper line (e,r,t,y,u,i) does concern the main graph, the letter on the lower line (d,f,g,h,j,k) does concern the subgroups. ; the letter on the first column (e,d,c) switch the graphical representation on/off, the second and third columns (r,f,t,g) change the color and the other column (y,h,u,j,i,k) deal with the symbols. When 'return' is pressed, the selected Clusterization are export. Export is done in in specific folder named objectName-CnumberOfCluster-OrderInTheSublist. Four files are created : [object Object],[object Object],[object Object],[object Object]

References

Article submited Web site: http://christophe.genolini.free.fr/kml

See Also

Overview: kml-package Classes : ClusterizLongData, Clusterization Methods : kml Plot : plot: overview, plot(ClusterizLongData), plotCriterion

Examples

### Creation of articficial data
cld1 <- as.cld(gald())

### Clusterisation
#kml(cld1,nbRedrawing=3,printCal=TRUE,printTraj=TRUE)

### Selection of the clusterization we want
#     (note that "try" is for compatibility with CRAN only,
#     you probably can use "choice(cld1)")
try(choice(cld1))