proliferationFittingData-class {flowFit} | R Documentation |
Provides S4 data structure and basic infrastructure and functions to store proliferation tracking data of the Parent Population.
Objects can be created by calls of the form new("proliferationFittingData", flowframe, channel, ...)
.
This class is for internal use.
data
:Object of class "flowFrame"
~~
channel
:Object of class "character"
~~
estimatedPeakPosition
:Object of class "numeric"
~~
estimatedPeakSize
:Object of class "numeric"
~~
dataRange
:Object of class "numeric"
~~
logDecades
:Object of class "numeric"
~~
estimatedDistance
:Object of class "numeric"
~~
parentPeakPosition
:Object of class "numeric"
~~
parentPeakSize
:Object of class "numeric"
~~
fittingDeviance
:Object of class "numeric"
~~
fixedModel
:Object of class "logical"
~~
fixedPars
:Object of class "list"
~~
generationsDistance
:Object of class "numeric"
~~
heights
:Object of class "list"
~~
generations
:Object of class "numeric"
~~
binning
:Object of class "logical"
~~
breaks
:Object of class "numeric"
~~
dataSmooth
:Object of class "logical"
~~
smoothWindow
:Object of class "numeric"
~~
parStart
:Object of class "list"
~~
dataMatrix
:Object of class "matrix"
~~
dataPoints
:Object of class "data.frame"
~~
modelPoints
:Object of class "data.frame"
~~
model
:Object of class "function"
~~
residFun
:Object of class "function"
~~
lmOutput
:Object of class "nls.lm"
~~
numberOfPeaks
:Object of class "numeric"
~~
Basic plots for proliferationFittingData
objects.
Usage:
plot(proliferationFittingData, main="Original data and Parent fitting", xlab="FACS data range", ylab="# of Events", showLegend=TRUE, logScale = TRUE, drawGrid = TRUE, ...)
Display details about the proliferationFittingData
object.
Return a descriptive summary about the proliferationFittingData
object.
Return the flowFrame
object.
Return coefficients of the model.
Return confidence intervals of the model.
Davide Rambaldi
showClass("proliferationFittingData") if(require(flowFitExampleData)){ data(PKH26data) parent.fitting <- parentFitting(PKH26data[[1]], "FL2-Height LOG") my.fit <- proliferationFitting(PKH26data[[2]], "FL2-Height LOG", parent.fitting@parentPeakPosition, parent.fitting@parentPeakSize) my.fit summary(my.fit) confint(my.fit) coef(my.fit) plot(my.fit) Data(my.fit) }