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' )


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flowBeads documentation built on Nov. 8, 2020, 5:01 p.m.