similar to: R code for estimating Hurst exponent

Dear R Users, Can anyone point me to a package for R vrsion 2.7.1 which implements some Hurst exponent estimation methods ? Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are

Hello, I'm using fArma package to estimate the value of Hurst exponent using R/S method. However, for a certain set of data I get H ~ 1.8. How do I interpret this? Following are the output that I get for this set: > mean(data[,2]) [1] 400.5433 > sd(data[,2]) [1] 1139.786 > > rsFit(data[,2], levels = 64) Title: Hurst Exponent from R/S Method Call: rsFit(x = data[, 2], levels

Dear All, I am a novice when it comes to time-series analysis and at the moment I am actually interested in calculating the Hurst exponent of a time series. This question has already been asked quite some time ago http://bit.ly/98dZsi and I trust some progress has been made ever since. I was able to find some functions in the packages http://cran.r-project.org/web/packages/Rwave/index.html

Hello, I'm an absolute beginner with R. I'm hoping to do some time-series analysis on my data. The data looks like #time value 18 153 20 426 70 7 83 130 84 7 and so on where time could be in seconds or hours or days (not all at the same time). How could I import such a file to R and do some simple stuff (say plot the values)? As per the tutorials on time series, I could use the ts()

Dear all, Has anyone worked on coding for calculating Lyapunov Exponent for a time series data? or any package is available for computing Lyapunov? Please advice and many thanks in advance. Catherine X Wang

Hello, I'm using the fArma package to estimate Hurst exponent by R/S method. I've some measurements in the following format: Call_number Call_duration I'm using the following steps. Am new to R, so it would help if someone could please confirm if my steps are correct. Further, this method seems to give a value H ~= 0.8 (> 0.5). Is the use of R/S method to estimate H OK? >

Dear R users, The function lmacfPlot( ) in fBasics, returns a list including the Hurst Exponent. I get sometimes a value for Hurst Exponent using lmacfPlot bigger than 1 which is theoretically incorrect. What could be reason ? From the related documents, I could not find how the Hurst Exponent in lmacfPlot is estimated. Could you please say how it is estimated here? Thank you so

Dear R Users, I am using code from the following links to do Hurst exponent estimation. link: http://r-forge.r-project.org/plugins/scmsvn/viewcvs.php?rev=1&root=rmetrics&view=rev file: LongRangeDependence.R Take a look at the following run: > x<-(cos((1:200)/10)) > rsFit(diff(x,15))@hurst$H [1] 1.027420 > aggvarFit(diff(x,15))@hurst$H [1] 0.02301331 First of all, can anyone

Hi, Can u please tell me which all packages do i need to install to estimate the hurst parameter in R. I have tried installing all the possible options but still it doesnt work. basically i want to use 9 functions to estimate hurst parameter like aggvarfit, rsfit, etc. i will be very thankful if u could be of some help. -- Regards, Deepak Jadhav. [[alternative HTML version

hello, I have been using the per function in package longmemo to obtain a simple raw periodogram. I am considering to switch to the function spec.pgram since I want to be able to do tapering. To compare both I used spec.pgram with the options as suggested in the documentation of per {longmemo} to make them correspond. Now I have found on a variety of examples that there is a shift between

hi all, I have a simple question that does power spectral analysis related to capacity dimension, information dimension, lyapunov exponent, hurst exponent. If yes then please show me the way. I am newbie in the world of chaos. Sayonara With Smile & With Warm Regards :-) G a u r a v Y a d a v Senior Executive Officer, Economic Research & Surveillance Department, Clearing

So I am trying to figure out how I would go about creating the relationships between two tables, but there are multiple relationships happening. The one I am trying to figure out is a one_to_one relationship + a one_to_many relationship. Example: I have a home model and a location model home has_one location location has_many homes The trouble is I have to be able to access both

This small patch extends configure_socket_options to support FreeBSD''s accf_http(9), which defers accept() until there''s a full HTTP request to read. Seems to work fine on 6.1-STABLE. DragonflyBSD should work too provided the /freebsd/ line is modified to match it. accf_http(9): http://www.freebsd.org/cgi/man.cgi?query=accf_http&sektion=9 -- Thomas

Dear All; I have used fbmSim to simulate a fbm sequence, however, when I tried to estimate the Hurst effect, none of the nine procedures gave me an answer close enough to the real value, which is 0.5 (n=1000). So, would you please advice, 1. which is the best method to estimate the H among the 9 mehods, R/S, higuchi or Whittle? 2. how to choose the levels (default=50), minnpts, cutoff values or

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

Hello, I am trying to collect several global measures or statistics for time-series as well as packages of R that can compute them. I have found several of them in papers and books, but the literature is so big i am sure i am missing several of them. skewness kurtosis min max mean SD trend seasonality periodicity chaos (Lyapunov Exponent) / Largest Lyapunov Exponent (i think is the same

I tried updating the BIOS on my K8WE (S2895) yesterday to 1.03, but after the update, FreeBSD (RELENG_6 dated March 26) would randomly freeze after booting. As I was updating from v1.01, I suspect it may be the updates to the nVidia SATA firmware that caused the issue, as things generally froze shortly after the background fsck processed kicked in (with, obviously, the exception of the first

Dear All; I have used fbmSim to simulate a fbm sequence, however, when I tried to estimate the Hurst effect, none of the nine procedures gave me an answer close enough to the real value, which is 0.5 (n=1000). So, would you please advice, 1. which is the best method to estimate the H among the 9 mehods, R/S, higuchi or Whittle? 2. how to choose the levels (default=50), minnpts, cutoff values or

Hello, are there any good methods in R that will test if two correlation matrices (obtained in different ways) are equal? Something better than the Mantel test would be preferable. Regards, Patrik Waldmann -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hello, I am new to R and for some of my research work I am using 'fArma' package to estimate the Hurst parameter of a time series. When I am ding the following command : rsFit(data, doplot = TRUE) I am getting the R/S plot for that time series with default plot title, font size. However, I want to change the axis size, font size etc of