splom.immunoClust {immunoClust} | R Documentation |
This method generates scatterplot matrix revealing the cluster assignment.
## S4 method for signature 'immunoClust,missing' splom(x, data, include=seq_len(x@K), ...) ## S4 method for signature 'immunoClust,flowFrame' splom(x, data, include=seq_len(x@K), subset=seq_len(length(attributes(x)$param)), N=NULL,label=NULL, desc=NULL, add.param=c(), ...) ## S4 method for signature 'immunoClust,matrix' splom(x, data, include=seq_len(x@K), subset=seq_len(length(attributes(x)$param)), N=NULL, label=NULL, desc=NULL, ...) datSplom(label, data, subset=seq_len(ncol(data)), include=seq_len(nrow(data)), ...)
x |
An object of class |
data |
Missing, a matrix, or object of class |
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 |
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
|
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.
Till Sörensen till-antoni.soerensen@charite.de
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).
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)