In pontikos/flowBeads: flowBeads: Analysis of flow bead data
r bead.data@fcs.filename
Bead Stats
K <- dim(bead.data@beads.mef)[1]+1
for (p in names(bead.data@mef.transform)) {
d <- data.frame(bead.data@clustering.stats[,p, 1:K])
names(d) <- paste(p, 1:K)
print(xtable(d), type='html')
}
Plot
plot(bead.data)
Regression Summary
print( xtable(bead.data@mef.transform$APC$m), type='html' )
Flow Cytometer Settings
print( xtable(t(data.frame(bead.data@description)[1,])), type='html' )
pontikos/flowBeads documentation built on May 25, 2019, 11:23 a.m.
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r bead.data@fcs.filename
Bead Stats
K <- dim(bead.data@beads.mef)[1]+1 for (p in names(bead.data@mef.transform)) { d <- data.frame(bead.data@clustering.stats[,p, 1:K]) names(d) <- paste(p, 1:K) print(xtable(d), type='html') }
Plot
plot(bead.data)
Regression Summary
print( xtable(bead.data@mef.transform$APC$m), type='html' )
Flow Cytometer Settings
print( xtable(t(data.frame(bead.data@description)[1,])), type='html' )
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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