| 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)