Massvectorlist-class {msbase}R Documentation

Class "Massvectorlist"

Description

Container class for Massvector-class

Objects from the Class

Objects can be created by calls of the form new("Massvectorlist", ...).

Slots

.Data:
Object of class "list"
info:
Object of class "character"
project:
Object of class "character"
experiment:
Object of class "character"
uniq:
Object of class "logical" if TRUE the list names must be uniq.

Extends

Class "Mlist", directly. Class "list", by class "Mlist".

Methods

[
signature(x = "Massvectorlist")
[[<-
signature(x = "Massvectorlist")
[<-
signature(x = "Massvectorlist")
coerce
signature(from = "Massvectorlist", to = "matrix")
coerce
signature(from = "Massvectorlist", to = "data.frame")
col.plot
signature(x = "Massvectorlist"): strip chart with color coded intensities
fsetdiff
signature(obx = "Massvectorlist", oby = "Massvector")
gamasses
signature(object = "Massvectorlist"): get abundant masses, abund - nr of abundant masses, accur - measurement accuracy, func - a function with filtering role.
hist
signature(x = "Massvectorlist"): histogram of all masses in the massvectorlist
mvmeannorm
signature(object = "Massvectorlist"):
mvscale
signature(object = "Massvectorlist"): scale
nrmatch
signature(obx = "Massvectorlist", oby = "Massvector"): ...
nrmatch
signature(obx = "Massvectorlist", oby = "NULL"): ...
pep.plot
signature(x = "Massvectorlist", y = "missing"): ...
plot
signature(x = "Massvectorlist", y = "missing"):
readBruker
signature(object = "Massvectorlist"): ...
readMV
signature(object = "Massvectorlist", src = "character"): ...
show
signature(object = "Massvectorlist"): ...
unlist
signature(x = "Massvectorlist"): casts Massvectorlist into Massvector
writeMV
signature(object = "Massvectorlist", path = "character"): ...

Author(s)

Witold E. Wolski witek96@users.sourceforge.net http://r4proteomics.sourceforge.net

See Also

fdist-methods,fbinary-methods,fcor-methods, or Massvector-class for links to other classes

Examples

new("Massvectorlist")
new("Massvectorlist",info="dumy",project="dummy",experiment="dummy")
data(pldata)
plot(pldata)
hist(pldata)
pep.plot(pldata,cex=0.4)
col.plot(pldata,col=2) #intensity color coded
tmp <- unlist(pldata)
length(tmp)
rm(tmp)
gamasses(pldata,abund=4)

[Package msbase version 1.0.0 Index]