cals-methods {msbase} | R Documentation |
Compute similarity between two Massvectors using a similarity function passed to argument msim
obx |
see below in Methods section |
oby |
see above in Methods section |
error |
measurement error |
ppm |
if TRUE then error in parts per million, in arbitrary units otherwise |
msim |
similarity function |
p |
argument to similarity function |
uniq |
if TRUE compute optimal aligmnent |
Scalar, Vector or object of class dist
Massvectors
Massvector
and Massvectorlist
dist
casting the similarities into distancesWitold E. Wolski witek96@users.sourceforge.net
data(pldata) pl1 <- pldata[[1]] pl2 <- pldata[[2]] cals(pl1,pl2,error=400,ppm=TRUE,msim=calssim,p=3) cals(pl1,pl2,error=400,ppm=TRUE,msim=calsrange) tmp <- cals(pldata,NULL,error=400,ppm=TRUE,msim=calssim,p=3) plot(hclust(tmp,method="average"))