The Meta-clustering result of the dat.exp data set.
Usage
data("dat.meta")
Details
The Meta-clustering was performed with an ICL-bias of 0.4.
Value
A list-object containing the meta-clusering result. A detailed
description is documented in the value section for the
meta.process function.
Source
http://flowrepository.org/id/FR-FCM-ZZWB
Examples
data(dat.meta)
## extract event counts in the 5 samples for all meta clusters
res <- meta.numEvents(dat.meta)
Results
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/dat.meta.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dat.meta
> ### Title: immunoClust Meta-clustering Results Sample
> ### Aliases: dat.meta
> ### Keywords: datasets
>
> ### ** Examples
>
> data(dat.meta)
>
> ## extract event counts in the 5 samples for all meta clusters
> res <- meta.numEvents(dat.meta)
>
>
>
>
>
>
> dev.off()
null device
1
>