similar to: Find peaks in histograms / Analysis of cumulative frequency

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

On Tue, 4 May 2004, Chris Lattner wrote: > On Tue, 4 May 2004, Chris Lattner wrote: > > I suspect that a large reason that LLVM does worst than a native C > > compiler with the CBE+GCC is that LLVM generates very low-level C code, > > and I'm not convinced that GCC is doing a very good job (ie, without > > syntactic loops). > > Yup, this is EXACTLY what is

Dear R-experts, I need to replace in an expression the character "Cl" by "Cl+beta" But in the following case: form<-expression((Cl-(V *ka) ) +(V *Vm *exp(-(Clm/Vm) *t))) gsub("Cl","(Cl+beta)",as.character(form)) We obtain: [1] "((Cl+beta) - (V * ka)) + (V * Vm * exp(-((Cl+beta)m/Vm) * t))" the character "Clm" has been

On Tue, 4 May 2004, Patrick Flanagan wrote: > I was able to run through all the C/C++ benchmarks in SPEC using LLVM. > I'm on OS X 10.3.3. I did a quick comparison between LLVM (latest from > CVS as of 4/27) and gcc 3.3 (Apple's build 20030304). For simplicity's > sake, the only flag I used was -O3 for each compiler and I was using > the C backend to generate native

On Tue, 4 May 2004, Chris Lattner wrote: > I suspect that a large reason that LLVM does worst than a native C > compiler with the CBE+GCC is that LLVM generates very low-level C code, > and I'm not convinced that GCC is doing a very good job (ie, without > syntactic loops). Yup, this is EXACTLY what is going on. I took this very simple C function: int Array[1000]; void test(int

I was able to run through all the C/C++ benchmarks in SPEC using LLVM. I'm on OS X 10.3.3. I did a quick comparison between LLVM (latest from CVS as of 4/27) and gcc 3.3 (Apple's build 20030304). For simplicity's sake, the only flag I used was -O3 for each compiler and I was using the C backend to generate native code for PPC. Most of the LLVM results were close to gcc

Hello dear R-users, does any of you know a way to perform a multinomial regression with clustered data (i.e. repeated measurements)? I made the first analysis with Stata option vce cluster in the mlogit command but was looking for a similar functionality in R too... thanks all! niccolò [[alternative HTML version deleted]]

I am fighting a browsing problem and am wondering what is the structure of the "browse.dat" file. Specifically what is the second field and should it be unique?? TIA cadplex@bcl.net

----- Forwarded message from Jaroslav Mracek <jmracek@redhat.com> ----- Date: Tue, 22 Nov 2016 16:17:11 +0100 From: Jaroslav Mracek <jmracek@redhat.com> To: bcl@redhat.com, dcantrell@redhat.com, "Lumens, Christopher" <clumens@redhat.com>, pjones@redhat.com, sbueno@redhat.com, christos.triantafyllidis@gmail.com, kevin@tigcc.ticalc.org, clime@redhat.com,

http://r.789695.n4.nabble.com/file/n3312061/x_and_y_values.txt x_and_y_values.txt I have the absorbance values form HPLC Chromatogram. I need to find the peaks in datapoints and area under each peak. I am not sure how how to find the peaks, I tried couple of libraries and peak function but they return me a list of values which when computed from area turns out to be huge nnumbers. In the

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

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

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

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

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

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

I am looking for a function in R that is equivalent to the function "peaks" in Splus. This function gives the local maxima of a vector. I do not find it using the help and I 'm not sure it exits in R. Could someone help me ? Thanks, Herve Cardot -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

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

Hello, Thank you to all those great folks that have helped me in the past (especially Dennis Murphy). I have a new challenge. I often generate time-series data sets that look like the one below, with a variable ("Phase") which has a series of flat-topped peaks (sample data below with 5 "peaks"). I would like to calculate the phase value for each peak. It would be great to