search for: spectrino

Dear R users, a new release (v1.5) of Spectrino package is on CRAN. For those of you not familiar with Spectrino: Spectrino is a spectra preparation utility for R. It has specialized organization and visualization features for spectra. Spectrino has visual interface - as Windows application with rich set of features to set a structure and ma...

Dear R users, a new release (v1.5) of Spectrino package is on CRAN. For those of you not familiar with Spectrino: Spectrino is a spectra preparation utility for R. It has specialized organization and visualization features for spectra. Spectrino has visual interface - as Windows application with rich set of features to set a structure and ma...

...trying to create a source package (on Win2k system). I followed the instructions from R-extns.pdf, installed ActivePerl and RTools with setting the DOS path to it. Then I did "Rcmd check" and had an error: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C:\R\rw2001\bin>Rcmd check D:/prime7/SpnInstall/spectrino * checking for working latex ...latex: not found NO * using log directory 'C:/R/rw2001/bin/spectrino.Rcheck' * checking for file 'spectrino/DESCRIPTION' ... OK * checking if this is a source package ... OK installing R.css in C:/R/rw2001/bin/spectrino.Rcheck MAKE Version 5.2 Cop...

I would really appreciate it if someone can give suggestions on how to do spectra fitting in R using ordinary least square fitting and non-negativity constraints. The lm() function works well for ordinary least square fitting, but how to specify non-negativity constraints? It wouldn't make sense if the fitting coefficients coming out as negative in absorption spectra deconvolution. Thanks.

Hello list! I would like to fit a distribution to each of the peaks in a histogram, such as this: http://photos1.blogger.com/blogger/7029/2724/1600/DU145-Bax3-Bcl-xL.png . The peaks are identified using Petr Pikal peaks function ( http://finzi.psych.upenn.edu/R/Rhelp02a/archive/33097.html), but after that I am quite stuck. Any idea as to how I can: Fit a distribution to each peak Integrate the

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