Displaying 4 results from an estimated 4 matches for "fwhm".
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fuhm
2012 May 06
1
I need some help
I would like to ask some help for the following object, because I don’t know which command in R-project should I use or how to start to solve it. I attached the file if it is needed.Any help or advice is appreciated. FWHM (Full Width at Half Maximum) attribution’s correlation need to be investigated to the following data’s:-„ma” and „ms” are two attributions- mt = ma+ms
- meff = f(ma,ms) I would like to solve the following questions: Is there a function-cor...
2001 May 29
2
Using "R" to find peaks in sampled data
This is probably a trivial question, but I did
not see it in the FAQs. Perhaps I simply need
to be pointed to some URLs.
In any case, I have some sampled data that has peaks,
and I would like to extract peak height, location, and
width, according to almost any statistical model.
Gaussian would seem to make the most sense.
There can also be "steps" increasing the amplitude
over a
2005 Aug 26
1
Pseudo-Voigt fit
...om text files) to
4-parameter Pseudo-Voigt peak function.
Until now I used SigmaPlot macro to do it (enclosed just in case...)
peaksign(q) = if(total(q)>q[1], 1, -1)
xatymin(q,r) = xatymax(q,max(r)-r)
[Parameters]
a = if(peaksign(y)>0, max(y), min(y)) ''Auto {{previous: 60.8286}}
b = fwhm(x,abs(y))/2 ''Auto {{previous: 0.656637}}
c = .5 ''Auto {{previous: 6.82973e-010}}
x0 = if(peaksign(y)>0, xatymax(x,y), xatymin(x,y)) ''Auto {{previous:
3.19308}}
[Equation]
f = a*(c*(1/(1+((x-x0)/b)^2))+(1-c)*exp(-0.5*((x-x0)/b)^2))
fit f to y
(manageable for ~100),...
2007 Dec 13
1
RMySQL and free text variable
...L data frame with 0 row
> query <- paste("Select * FROM metabolite_msms WHERE molid =", 165 , "
AND mode =", "\"+\"" )##only difference is that mode is replace by +
> scans <- dbGetQuery(con, query)
> scans
molNUM mz intensity fwhm mode adduct
1 165 385.5790 0.492911 0.0975147 +
2 165 111.1130 0.497857 0.3894250 +
3 165 229.2050 0.499505 0.4097280 +
4 165 302.8850 0.514342 0.0521955 +
5 165 186.9430 0.524233 0.1347370 +
6 165 125.1010 0.530828 0.0571061 +
7 165 207...