| proboStruct-class {MAQCsubset} | R Documentation |
structure for managing proboscis plot data
Objects can be created by calls of the form new("proboStruct", ...).
.Data:"list" ~~ call:"call" ~~
Class "list", from data part.
Class "vector", by class "list", distance 2.
Class AssayData-class, by class "list", distance 2.
plot
The proboscis plot shows how the probability of self-consistent monotone titration (SCMT) varies with the spiked difference in concentrations of two mRNA preparations in an MAQC dataset.
V Carey <stvjc@channing.harvard.edu>
For Figure 2 of Shippy et al., Using RNA sample titrations... (Nat Biotech, 24(9):1123-1131, Sep 2006)
data(afxsubRMAES)
NN1 = proboscis(afxsubRMAES)
plot(NN1)
showClass("proboStruct")