r b@fcs.filename

Bead Stats

    print(xtable(data.frame(beads.data@clustering.stats[,'APC', 1:6])), type='html')

Normalisation Formula

$log_{10}(MEF) = r b@beta \times log_{10}(r b@gating.parameter) + r b@alpha$

Plot

    plot(b)

Regression Summary

    library(xtable)
    print( xtable(b@m), type='html' )

Flow Cytometer Settings

    library(xtable)
    print( xtable(t(data.frame(b@description)[1,])), type='html' )


pontikos/flowBeads documentation built on May 25, 2019, 11:23 a.m.