Displaying 20 results from an estimated 400 matches similar to: "time-series statistics collection"
2006 Sep 16
1
regarding chaos
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
2004 Mar 05
3
Lyapunov exponent code for time series
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
2006 May 18
2
help
Dear Sir,
I’am a frensh student and i’am a new user of the R software.
After using the command (x<-read.delim(“clipboard”) to read a spreadsheet of Excel, I want to run the bds test and calculate the Lyapunov exponent. I have charged the R software by the packages tseries and tseriesChaos. when i run bds.test(x,m=2) Unfortunately the R software displays “error in as.vector(x,mode= “double”) :
2010 Jan 29
1
Lyapunov Discrete Time Equation
Dear all,
I need to solve the following Lyapunov Matrix equation:
C=ACA' + B,
with A and B given square symmetric matrices. Does anyone knows of a
package that can solve the lyapunov matrix equation in R? Or even a
C/Fortran implementation? I did not find one on netlib.
Thank you.
2004 Apr 22
1
Lyapunov exponent?
Hello,
Does anybody know if there is somewhere in R a function to calculate the
Lyapunov exponent in a time series?
Thanks,
Philippe Grosjean
.......................................................<??}))><....
) ) ) ) )
( ( ( ( ( Prof. Philippe Grosjean
\ ___ )
\/ECO\ ( Numerical Ecology of Aquatic Systems
/\___/ ) Mons-Hainaut University, Pentagone
/ ___ /( 8, Av. du
2013 Mar 28
2
hierarchical clustering with pearson's coefficient
Hello,
I want to use pearson's correlation as distance between observations and
then use any centroid based linkage distance (ex. Ward's distance)
When linkage distances are formed as the Lance-Williams recursive
formulation, they just require the initial distance between observations.
See here: http://en.wikipedia.org/wiki/Ward%27s_method
It is said that you have to use euclidean
2013 Oct 17
0
[LLVMdev] Multiple modules JITting
> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu]
> On Behalf Of Mikhail Lyapunov
> Subject: [LLVMdev] Multiple modules JITting
> We're looking for a way to use LLVM to JIT many modules, assuming that
> the full list of modules and their content are not available at a time
> when some of jitted pieces are already in use.
We do this in our
2011 Apr 14
1
problem with library tseriesChaos
Hi R-Users
I need to estimate Lyapunov exponent of my time series. After reading
description of all functions available I still don't know how to determine
time delay. My time series length is 4200. Is it possible to determine time
delay with other function's output or I can choose any random value?
Thanks for your help!
--
View this message in context:
2001 Mar 03
1
vector argument to rnorm
Is this intended behaviour ?
> length(rnorm(c(100)))
[1] 100
> length(rnorm(c(100,0,1)))
[1] 3
> length(rnorm(length(c(100,1,2))))
[1] 3
> length(rnorm(c(100,0,1,2,3,4,5)))
[1] 7
ie if you pass in a single element vector the first element of that is
taken as the desired n (OK) , but otherwise the length of the vector
argument is taken as the desired n.
I came across this usage in
2006 Mar 23
2
Default lag.max in ACF
Hi,
The default value for lag.max in ACF implementation is 10*log10(N)
There several publications recommending setting lag.max to:
- N/4 (Box and Jenkins, 1970; Chatfield, 1975; Anderson, 1976;
Pankratz, 1983; Davis, 1986; etc.)
- sqrt(N)+10 (Cryer, 1986)
- 20<=N<=40 (Brockwell and Davis)
Why R uses 10*log10(N) as a default?
Please, give me a reference to a book or article where the
2012 May 07
1
Value of Hurst exponent (R/S) method > 1
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
2010 Jul 19
1
Hurst Exponent Estimation
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
2008 Mar 12
1
Help in estimating HURST parameter
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
2014 Jan 17
2
[LLVMdev] Offset overflow on calling __chkstc and __alloca
Hi,
Attempting to use LLVM in jitting mode for AMD64, we met a problem.
When the jitted routine needs a big stack frame (> 1 page), the system attempts to call __chkstk to probe the stack.
This attempt results in assertion in RuntimeDyldELF::resolveX86_64Relocation(), case ELF::R_X86_64_PC32,
because the RealOffset does not fit in 32 bits.
Same happens with __alloca (when
2006 Nov 25
3
[PATCH] HTTP accept filter support for FreeBSD
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
2014 Jan 28
2
[LLVMdev] ldmxcsr reordering issue
Hi,
I met troubles with jitting x86 codes when using Intrinsic::x86_sse_ldmxcsr.
The target code must execute some SSE2 instruction with DAZ/FTZ modes enabled and others with DAZ/FTZ disabled.
I'm trying to get this by emitting LDMXCSR instructions with proper flag words.
It appeared however that execution engine sometimes reorders these instructions with computational ones (say with
2008 Aug 04
2
Long Range Dependence: Hurst exponent estimation
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
2003 Dec 04
1
R code for estimating Hurst exponent
Has anyone writen R code for estimating Hurst exponent with R/S method
or other methods?
or any other source of R code available?
Many thanks
Catherine Wang
2013 Oct 16
2
[LLVMdev] Multiple modules JITting
Hi,
Can you please clarify?
We're looking for a way to use LLVM to JIT many modules, assuming that the full list of modules and their content are not available at a time when some of jitted pieces are already in use.
Is it feasible to destruct ExecutionEngine but keep jitted code alive?
Are jitted binary codes position independent? (or is there a way to relocate) If the solution requires
2003 Feb 11
1
Dynamic Linear Models for Times Series - Implemented?
Hi,
I was wondering whether a package that can perform dynamic linear models on
times series data was available for R?
Many Thanks,
Gavin Simpson
%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
Gavin Simpson [T] +44 (0)20 7679 5522
ENSIS Research Fellow [F] +44 (0)20 7679 7565
ENSIS Ltd. & ECRC [E] gavin.simpson at