similar to: fit to power law with inknown zero

Dear R-helpers I would like to do a fit of the form: y = a (x+c)**b, where a, b and c are unknown. Does anybody know how to do it? Thanks Thomas

Dear all, I'm using igraph for some analysis about the network I have. I have a question about the function "power.law.fit". I wonder if there is any test for checking whether the "power.law.fit" is good for the input, i.e., under which situation, could we use this function to get a reliable result. I'm afraid even I input a random graph without any property of

Hi, I am trying to fit a line in the log plot of my networks degree distribution to show that it is a power-law distribution. I am using the following commands. However, I am not able to see the fitted line. Any comments to help? I am using following packages: igraph, splines,base,VGAM, netmodels. g is my network, d is the degree of nodes in the network, and dd is the degree distribution d

Dear all, How can I fit a truncated power law to a vector? I can't find a function to do that. If the function provides an AIC, even better. John

Hi, I am trying to fit a line in the log plot of my networks degree distribution to show that it is a power-law distribution. I am using the following commands. However, I am not able to see the fitted line. Any comments to help? I am using following packages: igraph, splines,base,VGAM, netmodels. g is my network, d is the degree of nodes in the network, and dd is the degree distribution d

p { margin-bottom: 0.08in; } Dear All, I will appreciate some suggestions of R packages for "ESTIMATION OF THE EXPONENT OF POWER-LAW FREQUENCY DISTRIBUTIONS". I have been searching at the R-help list several keywords for this subject and I did not find a very specific package, except the useful normalp package. I believe there are others but I was not able to identify it. I have

Dear list, Does anyone know how to fit the power law distribution? I have the empirical distribution and would like to check whether it fits power law (with the power estimated from the data). Any hints are appreciated Best regards Galina [[alternative HTML version deleted]]

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Dear All, I'd like to compare exponential or power-law distributions. To do so, people are often referred to the ks.test. However, I imagine ks.test wouldn't be as powerful as a test specifically designed for a distribution type. So my question is, is there a more specific test for each of these distribution? (exponential or power-law) Thanks for your hints! E

I have a power law plot in log-log scale using plot(x,y,log="xy") but I can't get the regression line to plot correctly. abline(lm(log(y)~log(x))) plots a straight line that looks promising but the intercept with the y-axis seems to be way off. summary(lm(log(y)~log(x))) gives the values but i cant really make any sense out of it. fitted(..) just confirms the values that seem to be

hi i have data which i think is coming from a power law distribution P(X > a) = c/a^k and i would like to find the exponent and constant. i would like it to use my experimental data to find c and k. also, if i would like to create a new distribution, is it easy to add to R, if so, how is that done? thanks -gong __________________________________

I am having difficulty with the calculation of the power law exponent for set of nodes within a graph. Specifically, I am interested in the distribution of in-degree and out-degree among communities of web pages where the web pages are the nodes of the graph and the hyperlinks the edges. According to the literature, the distribution of incoming and outgoing links obeys a power law distribution

First, thanks to everyone who helped me get to grips with R in (x)emacs (I get confused easily). Special thanks to Stephen Eglen for continued support. My question is about non-linear binning, or density functions over distributions governed by a power law ... y ~ mu*x**lambda # In one of its forms # (can't find Pareto in the online help) Looking at the following

Dear all, I would like to generate a filled.contour plot with log x and y axis, however using: filled.contour(as.line,log="xy") results in a warning message. Does anybody knos what to do? Thanks Thomas

Hi, I set "alaw = 1-7" in /etc/zaptel.conf hoping to make my zap channels the same as the PSTN. This caused the levels to be about 20dB too high, as well as being distorted. I adjusted the txgain and rxgain settings in /etc/asterisk/zapata.conf to sane levels, but now I still have rather distorted zap extension -> zap extension sound quality. What am I missing here ? zap 1-4 are

Hi all, I would like to write some custom helpers like the ones available as form helpers text_field, text_area and the like. My first try was this: custom_helper(obj, meth) ''some_string'' + obj.send(meth) + ''some_other_string'' end Object and method are being passed as symbols like this: custom_helper(:person, :name) and Ruby rightfully complains that

Dear List-Members, I would like to draw the amplitudes of different frequencies from a time series as shown in the attached figure. Does anybody has an idea how to do it? Best wishes Thomas -------------- next part -------------- A non-text attachment was scrubbed... Name: milankovich.pdf Type: application/pdf Size: 93605 bytes Desc: not available Url :

On Nov 19, 2011, at 16:42, Giulio Paci wrote: > So the problem would be suboptimal compression due to suboptimal > assumption about the input signal, right? The problem is more that FLAC should not be a collection of code to read every possible file format in existence. That would be a duplication of at least two other audio file format conversion utilities, and quite bug ridden,

Hi to all! I have a database of audio files that I want to losslessly compress. Unfortunately I have several 8bit A-law and mu-law files in the database and I see from here http://flac.sourceforge.net/documentation_tools_flac.html that they are not supported by the reference flac encoder/decoder. Is there a reason for this? Would it be possible to add support for these files in the reference

Because u-law and a-law are non-linear algorithms and the mathematics of FLAC (and AFAIK all lossless encoders) are build for linear PCM. Adding these formats would change the FLAC format altogether, decoders are not made to work with it (they can only output plain PCM) Best option would be converting these files to 16-bit plain WAV and compressing, but I guess files won't be much smaller