CellMigPCA {cellmigRation} | R Documentation |
The CellMigPCA function automatically generates Principal Component Analysis.
CellMigPCA(object, parameters = c(1, 2, 3))
object |
|
parameters |
A numeric vector contains the parameters to be included in the Principal Component Analysis. These numbers can be obtained from the outcome of the FinRes() function. |
PCA Graph of cells and PCA Graph of variables.
Salim Ghannoum salim.ghannoum@medisin.uio.no
https://www.data-pulse.com/dev_site/cellmigration/
data(WSADataset) wasDF=WSADataset[seq(1,300,by=1),] wsaTD <- CellMig(wasDF) wsaTD <- wsaPreProcessing(wsaTD,FrameN=55) wsaTD <-FMI(wsaTD,TimeInterval=10) wsaTD <-ForwardMigration(wsaTD,TimeInterval=10) wsaTD <-FinRes(wsaTD,ParCor=FALSE) PCAplot<-CellMigPCA(wsaTD,parameters=c(1,4))