fcor-methods {msbase} | R Documentation |
Computes the:
obx |
see above |
oby |
see above |
error |
measurement error |
ppm |
if TRUE then error in parts per million, in
arbitrary units otherwise |
full |
if TRUE then compute for matching and not matching peaks |
weight |
if TRUE weight differences between matching peaks. |
uniq |
if TRUE compute the non-crossing matching |
method |
type of dissimilarity:
|
norm |
how to scale the itensities |
theta |
"numeric" how to weight the non-matching peaks. |
N |
default 0 - total length of alinged peak-lists. |
range |
experimental |
The Dissimilarity.
dist
Witold E. Wolski witek96@users.sourceforge.net
data(pldata) fcor(pldata[[1]],pldata[[2]],error=400,ppm=TRUE,theta=1,weight=FALSE,scale="no",method="dotprod") fcor(pldata[[1]],pldata[[2]],error=400,ppm=TRUE,theta=1,weight=FALSE,scale="student",method="soai") #search with one peak-list in a bunch of peak-lists fcor(pldata,pldata[[1]],error=400,ppm=TRUE,theta=1,weight=FALSE,scale="student",method="soai") #compute distance matrix of peak-lists and cluster tmp<-fcor(pldata,NULL,error=400,ppm=TRUE,theta=1,weight=FALSE,scale="student",method="soai") plot(hclust(tmp,method="average"))