aggregateFR {cellmigRation} | R Documentation |
Aggregate two or more CellMig-class objects together. Input objects must carry information of trajectory analyses (otherwise an error will be raised). All trajectory results form the different experiments/conditions are returned in two data frames.
aggregateFR(x, ..., export = FALSE)
x |
|
... |
one or more CellMig-class object(s) where cells' trajectories have already been analyzed. |
export |
if 'TRUE' (default), exports function output to CSV file |
The visualization shows centered trajectories where the starting point of each track is located at the origin of the coordinate system (X=0,Y=0).
two data frames: The first data frame shows the average of each parameter per experiment/condition. The second data frame shows the parameters of individual cells of all experiments/conditions.
Damiano Fantini and Salim Ghannoum salim.ghannoum@medisin.uio.no Damiano Fantini, damiano.fantini@gmail.com
https://www.data-pulse.com/dev_site/cellmigration/
data(WSADataset) wasDF1 <- WSADataset[seq(1,300,by=1), ] wsaTD1 <- CellMig(wasDF1) wsaTD1 <- wsaPreProcessing(wsaTD1,FrameN=55) wsaTD1 <-FMI(wsaTD1,TimeInterval=10) wsaTD1 <-FinRes(wsaTD1,ParCor=FALSE, export=FALSE) wasDF2 <- WSADataset[seq(500,700,by=1), ] wsaTD2 <- CellMig(wasDF2) wsaTD2 <- wsaPreProcessing(wsaTD2,FrameN=55) wsaTD2 <-FMI(wsaTD2,TimeInterval=10) wsaTD2 <-FinRes(wsaTD2,ParCor=FALSE, export=FALSE) AGG<-aggregateFR(wsaTD1 ,wsaTD2 ,export=FALSE)