cytoFrame-class: 'cytoFrame': a class for storing observed quantitative...
In prada: Data analysis for cell-based functional assays

Description Details Creating Objects Slots Methods Author(s) See Also Examples

This class represents the data contained in a FCS 3.0 file or similar data structures.

Although objects of class cytoFrame can be used to hold arbitrary data of cell populations, the main focus lies on flow-cytometry data.

FCS 3.0 is the Data File Standard for Flow Cytometry, Version FCS3.0. See the vignette of this package for additional information on using the object system for handling of flow-cytometry data.

Objects can be created using
new('cytoFrame',
exprs = ...., # Object of class matrix
description = .... # Object of class character
)
or the function readFCS.

exprs:: Object of class matrix containing the measured intensities. Rows correspond to cells, columns to the different channels. The colnames attribute of the matrix is supposed to hold the names or identifiers for the channels. The rownames attribute would usually not be set.
description:: A named character vector containing the experiment description as key-value pairs.
well:: A single integer vector giving the position of the well on a microtitre plate. This only applies when using the object within a cytoSet collection and will usually be filled in by the function readCytoSet.
gate:: An object of class gateSet. This object can be used to select defined subsets of the data, a process referred to as gating in the analysis of flow-cytometry data.

[: subsetting. Returns an object of class cytoFrame. The subsetting is applied to the exprs slot, while the description slot is unchanged.
exprs, exprs<-: extract or replace the intensities.
description, description<-: extract or replace the description.
show: display summary.
plot: scatterplot for cytoFrame objects. The additional argument gate can be used to plot subsets of the data defined by either an object of class gate or by a character vector giving the name of one of the gates in the list.
gate,gate<-: extract or replace the list of gates.
ncol,nrow: extract the dimensions of the data matrix.
appendGate: Append a gate or gateSet to the gate slot.
drawGate: Create an object of class gate or gateSet based on a selection made from the data.
hist: Draw a histogram of the data

Florian Hahne, Wolfgang Huber

readFCS, cytoSet, gate, gateSet

intens <- matrix(runif(100), ncol=4)
colnames(intens) <- c("FL1-H", "FL2-H", "FL3-H", "FL4-H")

a <- new("cytoFrame",
          exprs=intens,
          description=c(name="example data", date=date()))

description(a)
dim(exprs(a))           

a[1:3, -4]

plot(a)
## Not run: 
g1 <- drawGate(a, name="Gate1")

## End(Not run)