DiAutoCor: Direction AutoCorrelation

In ocbe-uio/CellMigRation: Track Cells, Analyze Cell Trajectories and Compute Migration Statistics

Description

The DiAutoCor function automatically compute the angular persistence across several sequantial time intervals.

Usage

DiAutoCor(
  object,
  TimeInterval = 10,
  sLAG = 0.25,
  sPLOT = TRUE,
  aPLOT = TRUE,
  export = FALSE,
  ExpName = NULL
)

Arguments

object	CellMig class object, which is a list of data frames resulted from the PreProcessing.
TimeInterval	A numeric value of the time elapsed between successive frames in the time-lapse stack.
sLAG	A numeric value to be used to get the number of lags for the slope fitting. Default is 0.25, which represents 25 percent of the steps.
sPLOT	A logical vector that allows generating individual plots showing the angular persistence across several sequantial time intervals. Default is TRUE.
aPLOT	A logical vector that allows generating a plot showing the angular persistence across several sequantial time intervals of all cells. Default is TRUE.
export	if 'TRUE' (default), exports function output to CSV file
ExpName,	string, name of the experiment. Can be NULL

Value

An CellMig class Object with a data frame and plots. The data frame, which contains six rows: "Cell Number", "Angular Persistence", "Intercept of DA quadratic model", "Mean Direction AutoCorrelation (all lags)", "Stable Direction AutoCorrelation through the track" and "Difference between Mean DA and Intercept DA".

Author(s)

Salim Ghannoum [e-mail]

References

https://www.data-pulse.com/dev_site/cellmigration/

Examples

data(TrajectoryDataset)
rmDF=TrajectoryDataset[seq(1,220,by=1),]
rmTD <- CellMig(rmDF)
rmTD <- rmPreProcessing(rmTD,FrameN=55)
rmTD <- DiAutoCor(rmTD, TimeInterval=10, sLAG=0.25, sPLOT=FALSE,
                  aPLOT=FALSE, export=FALSE)

ocbe-uio/CellMigRation documentation built on Dec. 26, 2021, 10:19 p.m.