Description Creation of objects Slots Extends Methods Author(s) See Also Examples
This class of objects is returned by the functions runScampi
and iterateScampi
to contain the estimated protein abundances (and optionally the peptie abundance reassessment).
Objects of this class have methods for the functions summary, show and plot.
Objects are typically generated by calls to the functions runScampi
and iterateScampi
(in latter the scampiVal
class object is in a nested list).
call
:Object of the class "call"
: the
original function call.
parameters
:Object of class "list"
:
list of estimated model parameter values, each list element corresponds to
a different estimation method.
ppGraph
:Object of class "graphNEL"
:
the bipartite undirected graph with peptides and proteins underlying the
comuptations.
ccList
:Object of class "list"
:
list of connected components (with some pre-processed properties) of
ppGraph
underlying the computations.
peptides
:Object of class "data.frame"
:
dataframe summarizing information about the peptides (input data as well as
(optionally) reassessed abundances).
proteins
:Object of class "data.frame"
:
dataframe summarizing information about the proteins (input data as well as estimated
protein abundances).
edgespp
:Object of class "data.frame"
:
dataframe summarizing the information about the edges of ppGraph
, connecting the
peptides
to the proteins
.
Class scampi
, directly.
signature(x = "scampiVal", y = "missing")
: For each parameter estimation method, plot the distribution of the computed protein abundance scores (histogram). If the peptide score reassessment was performed, also display a Tukey-Anscombe and Normal Q-Q plot for the peptide residuals.
signature(object = "scampiVal")
: Display basic properties of the fitted object
signature(object = "scampiVal")
: Display details of the fitted object
Sarah Gerster sarah.gerster@isb-sib.ch
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | showClass("scampiVal")
## generate a scampiVal object
data("leptoSRM")
scampiRes <- runScampi(peptides=leptoSRMpeptides,
proteins=leptoSRMproteins,
edgespp=leptoSRMedgespp,
rescaling=FALSE, method="LSE",
quantifyPeptides=FALSE)
## use methods of class scampiVal
show(scampiRes)
summary(scampiRes)
plot(scampiRes)
|
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