similar to: Help in Plotting in "fArma" Package

What Dave said, plus here's a hint. Try this example (which uses base graphics): plot(1:5) plot(1:5, cex.lab=2) Then look at the help page for par help('par') or ?par to search for other graphics parameters (base graphics) you can use to change various things. Success will depend, as Dave indicated, on how the package author handled the plotting options in rsFit(). -Don --

The documentation say that additional arguments will be passed. I suspect this will be a base graphics plot. You should look at the code of plot.rsfit to determine which arguments get processed. Sent from my iPhone > On Jan 25, 2018, at 10:30 AM, Moyukh Laha <laha.moyukh at gmail.com> wrote: > > Hello, > I am new to R and for some of my research work I am using

> On Jan 26, 2018, at 9:51 AM, MacQueen, Don <macqueen1 at llnl.gov> wrote: > > What Dave said, plus here's a hint. Try this example (which uses base graphics): > > plot(1:5) > plot(1:5, cex.lab=2) > > Then look at the help page for par > help('par') > or > ?par > to search for other graphics parameters (base graphics) you can use to

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

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

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

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

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 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? >

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 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

Hello All, A simple question. I get some return from the R in my C++ program (via Rcpp package). The result come, as SEXP and it should be a simple numeric variable. How to convert it to double? The code, what i use: stringstream ss; ss << "p <- predict(fit_ar11, n.ahead = 2, doplot=FALSE);" << "p$pred[1]"; SEXP ans; int iRet =

Hello R-list, I am plotting a weighted linear regression in R. The points on my chart are also scaled to sample size, so some points are large, some are small. I have figured out everything I need using the plot() function: how to plot the points, scale them by sample size, weight the linear regression by sample size, plot that line, and plot the labels for the points. However, although the

Can anyone explain such different output: > stableFit(s,alpha = 1.75, beta = 0, gamma = 1, delta = 0, + type = c("q", "mle"), doplot = TRUE, trace = FALSE, title = NULL, + description = NULL) Title: Stable Parameter Estimation Call: .qStableFit(x = x, doplot = doplot, title = title, description = description) Model: Student-t Distribution Estimated

Hi, I can't apply the summary function when I use de armaFit (fArma). Can you help? fit<-armaFit(~arma(1,0),data=age55) fit Title: ARIMA Modelling Call: armaFit(formula = ~arma(1, 0), data = age55) Model: ARIMA(1,0,0) with method: CSS-ML Coefficient(s): ar1 intercept -0.564184 0.001190 Description: Mon Feb 16 15:00:54 2009 by user: f003553

Dear useRs, I want to simulate a time series (stationary; the distribution of values is skewed to the right; quite a few ARMA absolute standardized residuals above 2 - about 8% of them). Is this the right way to do it? #-------------------------------- load("rdtb") #the time series > summary(rdtb) Min. 1st Qu. Median Mean 3rd Qu. Max. -1.11800 -0.65010 -0.09091

Hi all, Does anyone know if Lo's modified R/S statistic is implemented in R? I found "rsFit" function from fArma package (LrdModelling), but I guess this is to calculate the classical R/S statistic. Thank you, M. -- View this message in context: http://www.nabble.com/Lo%27s-modified-R-S-tp24318771p24318771.html Sent from the R help mailing list archive at Nabble.com.

this is not a problem with R but a request for related advice. i am trying to run a lengthy batch job from my home. the OS is ... Linux jedi.bwh.harvard.edu 2.4.22-openmosix1smp #1 SMP Fri Sep 5 01:05:37 CEST 2003 i686 athlon i386 GNU/Linux i start the job and put it in the background. while i am connected, all is well. eventually my ISP shuts down the connection if i do not do any input.

Dear R users, I'm trying to fit stable distribution and hyperbolic distribution to my data using stableFit(), and hypFit() of fBasics. However, there are some problems This is the result ====================================== > stableFit(lm, alpha = 1, beta = 0, gamma = 1, delta = 0, doplot = TRUE, trace = FALSE, title = NULL, description = NULL) Title: Stable Parameter Estimation

###Dear R users ###I have been using SensoMineR package from CRAN for most of my work in sensory data analysis and from my usage experience, I encountered some areas for improvement and considered ###modifying the function in SensoMineR package for my personal use. I felt that it could be useful to share this to the community for enabling adoption by other users where they might require a