Massvector-class {msbase} | R Documentation |
A concise (1-5 lines) description of what the class is.
Objects can be created by calls of the form new("Massvector", data, info, tcoor, gelcoor, access, pionm)
.
.Data
:"matrix"
. First column
contains masses. Second can contain intesnities.info
:"character"
tcoor
:"numeric"
gelcoor
:"numeric"
access
:"character"
pionm
:"numeric"
Class "matrix"
, directly.
signature(x = "Massvector")
: ... signature(from = "Massvector", to = "array")
: ... signature(from = "Massvector", to = "list")
: ... signature(from = "Massvector", to = "data.frame")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvectorlist", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(object = "Massvector")
: ... signature(x = "Massvector")
: ... signature(.Object = "Massvector")
: ... signature(x = "Massvector")
: ... signature(object = "Massvector")
: ... signature(object = "Massvector")
: ... signature(obx = "Massvector", oby = "Massvector")
: ... signature(obx = "Massvectorlist", oby = "Massvector")
: ... signature(x = "Massvector", y = "Massvector")
: ... signature(x = "Massvector", y = "missing")
: ... signature(object = "Massvector")
: reads
Bruker XML file signature(object = "Massvector", src =
"character")
: reads Massvector from file signature(object = "Massvector")
: signature(object = "Massvector")
: signature(object = "Massvector", path =
"character")
: writes Massvector to fileWitold E. Wolski witek96@users.sourceforge.net http://r4proteomics.sourceforge.net
fdist-methods,fbinary-methods,fcor-methods
,
or Massvectorlist-class
data(pldata) new("Massvector") new("Massvector",matrix(1:20,ncol=2),info="dummy",tcoor=c(0,0),gelcoor=c(0,0)) pl1<-pldata[[1]] pl2<-pldata[[2]] pl1 plot(pl1) image(pl1) length(pl1) nrmatch(pl1,pl2,error=200,ppm=TRUE) #returns indices of matching peaks. fmatch(pl1,pl2,error=200,ppm=TRUE,uniq=TRUE) #returns indices of matching and not matching peaks. fmatchall(pl1,pl2,error=2,ppm=FALSE,uniq=TRUE) funion(pl1,pl2,error=2,ppm=FALSE,uniq=TRUE) fis.element(pl1,pl2,error=2,ppm=FALSE,uniq=TRUE) fsetdiff(pl1,pl2,error=2,ppm=FALSE,uniq=TRUE) fintersect(pl1,pl2,error=2,ppm=FALSE,uniq=TRUE)