similar to: Find peaks in dataset(x,y) and area for each peak

Hello! I am having an issue with the OrgMassSpecR package. I run my HPLC using a DAD detector. My raw data is exported form chemstation as a csv file. I then upload the csv into Rstudio no problem. Using the DrawChromatogram function, I get a nice chromatogram, and my retention time, peak area, and apex intensity values are given as well. The problem comes with the peak area value given. The

I've been asked in private, (and am replying BCC to the asker), >> I saw your post on the R-help archives page about the possibility of >> porting a function from S-Plus called peaks() to R. I am looking for >> some way to locate peaks in a simple x,y data set, and thought that R >> might be the way to go. "of course" it is the way to go, don't get

In my previous experience with wmtsa function wavCWTPeaks I realized the Tolerance vector passed to the multi-scale decomposition function "wavCWTTree" is crucial for detecting the time series extrema and prevent the R script from aborting. By trial & error I recently managed to figure out the Tolerance vector values in a single case (please see attachments). I am looking for some

If there something available in R that has the functionality of the S-PLUS peaks() function? Thanks, Mirka

Interesting story at Groklaw...just thought I would share: http://www.groklaw.net/article.php?story=20120913073511444 -- _ ?v? /(_)\ ^ ^ Mark LaPierre Registerd Linux user No #267004 www.counter.li.org ****

Full_Name: Benny van der Vijgh Version: 2.7.2 OS: Windows Vista Submission from: (NULL) (194.171.252.108) The return value of peaks() in package splus2R is not consistent. This is because of the call to max.col() without additional parameters which peaks() makes. max.col() has a parameter 'ties.method' which specifies how ties are handled, with "random" by default. This means

Hi, all. Does anyone have an equivalent to Splus "peaks", which finds local maxima (with locality defined by a parameter "span")? I thought I'd check whether anyone has done it already before trying to put something together myself. Thanks, Matt Wiener -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

On 15 Oct 2002 at 18:09, Rieckermann Joerg wrote: > Dear Petr, > > I have been fooling around with this peaks function of yours/Ripley > and don't seem to get the main idea. > > What I intend to do is locate the peaks in a vector and later use thes > values. So the position of the peaks would be of great interest. > > My questions: > * Why does peak retunr a

Hi R Users, Sorry if its out of topic. I would like to ask you about twin peaks - normal distribution. How R can handle it, any example to explain it in R. Thanks, regards, Unung

Greetings all, I am using Fourier analysis to search for periodicities in IP network traffic by generating periodograms and then visually examining them for large, distinct peaks. However, in many cases it is not readily apparent where there are periodicities. I have no experience with discrete maths so I've come up against a block here: How do I define what the "noise floor"

Dear all, I have the positions of N points spread through some sequence of length L (L>N), and I would like to know how can do the following: 1- Permute the positions of the N points along the whole sequence. Assuming a uniform distribution I did: position1 <- runif(N, 1, L) 2- Apply a kernel convolution method to the resulting permuted points profile. For this I applied the

Hi, I have a data-matrix: > CB                    Zeit                Low 2   2011-05-02 08:05:05 7596.0 3   2011-05-02 08:10:06 7593.5 4   2011-05-02 08:15:11 7594.5 5   2011-05-02 08:20:15 7597.5 6   2011-05-02 08:25:18 7595.0 7   2011-05-02 08:30:20 7593.5 8   2011-05-02 08:35:21 7593.0 9   2011-05-02 08:40:21 7593.0 10  2011-05-02 08:45:25 7599.0 11  2011-05-02 08:50:34 7596.0 12 

I have strange peaks of machine load on my asterisk servers, looking at top the load is very high even if cpu usage is low and no swap memory is used. This happens on all the machines, some of them have asterisk, mysql, agi and digium cards on them, so I thought I was only asking too much, but yesterday I noticed the same behaviour on an asterisk machine with only two digium in it, no other

Hi, I've been trying to find a way to label the the peak or mean of a densityplot for a while but haven't been successful. Does anyone know how to accomplish this? Thank you for your help in advance. Joon [[alternative HTML version deleted]]

While reviewing Greg Woods' PATCH 28/36, I realized that our namespace use "peakcurrent". A more coherent name would be "current.peak", as used in Greg's patch (well, in the metasys driver to be precise). For the time being, only the upscode2 driver is using "peakcurrent". But as told, metasys is already using "current.peak". So I'm going to

I have two questions... When I disconnect from my Icecast mount (when broadcasting), I want the following to happen... 1. The "Peak Listeners" count to not be reset to 0 the next time I connect 2. For the mount to remain present (so that my listeners don't get a 404 error and remain listening to silence until I reconnect. Is this possible? Thanks in advance, -- Ben

Hi, I've been running out of memory while using the lm.fit function - have solved the problem and thought there might be interest in incorporating some of the changes. Looked at the source and changed the following lines storage.mode(x) <- "double" storage.mode(y) <- "double" z <- .Fortran("dqrls", qr = x, n = n, p = p, y = y, ny = ny,

Jorge, what you propose is not possible because the size of the output is unknown, that's why a dynamically growing PStream buffer is used - it cannot be pre-allocated. Cheers, Simon > On Mar 17, 2015, at 1:37 PM, Martinez de Salinas, Jorge <jorge.martinez-de-salinas at hp.com> wrote: > > Hi, > > I've been doing some tests using serialize() to a raw vector: >

Hi, I've been doing some tests using serialize() to a raw vector: df <- data.frame(runif(50e6,1,10)) ser <- serialize(df,NULL) In this example the data frame and the serialized raw vector occupy ~400MB each, for a total of ~800M. However the memory peak during serialize() is ~1.2GB: $ cat /proc/15155/status |grep Vm ... VmHWM: 1207792 kB VmRSS: 817272 kB We work with very

Hallo everybody, I am doing a thesis in video extensometry and one my approaches requires peak detection in a two dimensional data. If would be grateful if anyone can throw some light on this for me by giving me some hints on how to do it or give me some links for it. thank very much in advance. Ram