similar to: Detrended fluctuation analysis

I'm working with the DFA (detrended fluctuation analysis) function in the package fractal on postural sway data, and for the life of me can't get the results to turn out as they should given what my data looks like. The data resemble a random walk, but the Hurst exponent estimates that I'm getting at ~0.9 instead of ~1.4, which is the value a researcher I've been working with

Dear R-users, Has anyone written a function for multifractal detrended fluctuation analysis? The "fractal" package does mono-fractal DFA, but not multifractal as far as I can tell. The MF-DFA approach is presented in: J. W. Kantelhardt, S. Zschiegner, E. Koscielny-Bunde, S. Havlin, A. Bunde, and H. E. Stanley, "Multifractal Detrended Fluctuation Analysis of

Good afternoon, my name is Gorka Merino and i am a scientist working in the Marine Science Institune in Barcelone. I'm interested in the application of "Detrended Fluctuation Analysis" (DFA) with the R packages. I've tried to obtain some information related to DFA from the 'Help' options but failed. Could somebody inform me about the use of these techniques in R

Hi, I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.

Dear all I tried to find some packages (or programs) for image analysis and especially fractal dimension image analysis but so far I had not success. It shall be used for particle surface layer analysis from TEM images. Any suggestions? Best regards Petr

Hello. Thank you very much for the research paper. I will try to make use of the algorithms it presents. I just want to add that I found a 3rd party project doing dataflow analysis for LLVM IR at https://github.com/rohitjha/cse231-proj2. As written at http://cseweb.ucsd.edu/~r1jha/#five , the project's description is: "Dataflow Analysis Framework for LLVM This is an

Hello R developers, I know it is still a bit early to talk about Summer of Code, but I wish to know what are, approximately, plans for this year. Last year I applied as a student under OSGeo with a QGIS-R project and had a very positive experience [0], therefore I plan to participate again. I found an interesting hint [1], about implementing fractal analysis in R, and a would-be mentor has

Dear R Users, I'm very very interested in learning how to use R to carry out a classification of data using discriminant function analysis. I've found the MASS package and the lda function, but the examples in the help system are a bit over my head. I'm not exactly sure how to interpret the output, for example, of if the inputs I've chosen are best suited to my needs. I

https://rdrr.io/rforge/fractal/ https://cran.r-project.org/web/packages/fractal/fractal.pdf Hi, I am trying to learn about nonlinear time series, and fractal time series analysis in particular. I am interested in becoming proficient with the 'fractal' package. I have two specific questions: 1. I have a basic understanding of ARMA and ARIMA models. Can someone recommend

Hi all, here's a proposal for a SoC project on wildlife movement patterns analysis. A MSc student is available to anwser the call, of course. The idea has already been briefly discussed with the mantainer of the adehabitat package and the AniMov project community. Short description Develop some add-on functions to use the adehabitat package to perform basic movement ecology analysis, in

I think the following may provide a clearer explanation: subs <- c(1,3) DFA <- data.frame(id = 1:3) ar <- array(1:12, c(3,2,2)) ## yielding > ar , , 1 [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 , , 2 [,1] [,2] [1,] 7 10 [2,] 8 11 [3,] 9 12 ## array subscripting gives > ar[subs,,] , , 1 [,1] [,2] [1,] 1 4 [2,] 3 6 , , 2

I missed last 2 commits made by Alexey. Following his advices, I updated the patch. It should be ok now. Ivan On 27/06/2012 21:42, Anshuman Dasgupta wrote: > Committed in r159281. > > -Anshu > > > On 6/26/2012 3:04 AM, Ivan Llopard wrote: >> Hi Anshu, >> >> I don't have commit access. It applies correctly on trunk, I've just >> checked it.

Dear R People: At one time, there were packages called fractal and Fractal, respectively, which had different functions. I can't seem to find Fractal any more. Does it still exist somewhere, please? Thanks in advance for any help! Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: erinm.hodgess

Are there any packages that help with statistical analysis in situations where fractal geometry is relevant? Perhaps something that supports computation of fractal related statistics, such as the Hurst exponent or fractal dimension? Or perhaps which support obvious tasks such as taking samples from a dataset at different levels of granularity (such as sampling spatial data at cm, m, km

So is this an expected behavior or is it a bug which should be reported somewhere else? Thanks! Georg? ? ? Gesendet:?Dienstag, 09. Mai 2023 um 19:28 Uhr Von:?"Bert Gunter" <bgunter.4567 at gmail.com> An:?"Georg Kindermann" <Georg.Kindermann at gmx.at> Cc:?"Rui Barradas" <ruipbarradas at sapo.pt>, r-help at r-project.org Betreff:?Re: [R] data.frame

R-users: My problem: the package fdim (which measures fractal dimensions of datasets) apparently prefers 3-D (XYZ) datasets. I'm trying to measure the information dimension (a type of fractal dimension) of a 2-D (XY) dataset. Here's some examples of the preferred 3-D data (XYZ): library(fdim) XYZ <- (makehplane(NumN=300, DimM=3, Longit=300)) fdim(XYZ,q=0.999999,PlotF=TRUE)

I need to remove certain interactions and keep only the one between the second level of the factor and the continuous var t2 bin4 <- glm(resp2~ t*t2+c5.vrm,data=dfa,family="quasibinomial") > summary(bin4) Call: glm(formula = resp2 ~ t * t2 + c5.vrm, family = "quasibinomial", data = dfa) Deviance Residuals: Min 1Q Median 3Q Max -6.5464

I really don't know. I would call it a request for extended capabilities of [.data.frame, rather than a feature or bug. But maybe wiser heads than mine who monitor this list can sort it out. -- Bert On Wed, May 24, 2023 at 8:52?PM Georg Kindermann <Georg.Kindermann at gmx.at> wrote: > So is this an expected behavior or is it a bug which should be reported > somewhere else? >

> Thanks for reviewing this. I added a top comment for AddInsnClass and I fixed the violation of column numbers. Great. Looks good to me. > IMO, it wil be nice to keep it alive for performance comparisons. Given the overall performance > is rather determined by transition searches on the current state, for small DFA tables may not be a win > and it may still be the case for

Greetings of Peace! I am new in R software. I want to use the correlation dimension corrDim in computing a map. I have installed the packages(fractal) in R. Now my problem is this, when I tried your example in the following site http://rgm2.lab.nig.ac.jp/RGM2/func.php?rd_id=fractal:corrDim  > library(fractal) > png(filename="corrDim_%03d_med.png", width=480, height=480) >