An object of class immunoClust as
return by cell.process or meta.process.
data
Missing, a matrix, or object of class flowFrame. This is the
object of observations on which cell.process was performed.
include
A numeric vector specifying which clusters will be shown on the
plot. By default, all clusters are included.
subset
A numeric vector indicating which parameters are selected for the
scatterplot matrix.
N
An integer for the maximum number of observations to be plotted. By
default all observations are plotted.
label
A integer vector for the cluster mebership of the observations. By
default this is x@label.
desc
A character vector for the parameter description.
add.param
A list of additional parameters to plot, which are not used
for clustering.
...
Further graphical parameters passed to the generic function
splom.
Value
An object of class trellis as returned by the generic splom
function of the lattice-package. The print method (called by
default) will plot it on an appropriate plotting device.
Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T.
immunoClust - an automated analysis pipeline for the identification of
immunophenotypic signatures in high-dimensional cytometric datasets.
Cytometry A (accepted).
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(immunoClust)
Loading required package: grid
Loading required package: lattice
Loading required package: flowCore
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/immunoClust/splom.immunoClust.Rd_%03d_medium.png", width=480, height=480)
> ### Name: splom.immunoClust
> ### Title: Scatterplot Matrix of immunoClust Clustering Results
> ### Aliases: splom splom.immunoClust splom,immunoClust,missing-method
> ### splom,immunoClust,flowFrame-method splom,immunoClust,matrix-method
> ### datSplom
> ### Keywords: graphs
>
> ### ** Examples
>
> data(dat.fcs)
> data(dat.exp)
> # cell clustering results of dat.fcs
> dat.res <- dat.exp[[1]]
> dat.trans <- trans.ApplyToData(dat.res, dat.fcs)
> splom(dat.res, data=dat.trans, N=1000)
>
>
>
>
>
> dev.off()
null device
1
>