similar to: R "FinMetrics" Package Available?

Greetings, I wonder if someone could point me towards a more elegent solution than what I"ve kluged together. I have a vector "samp1" of 296 integers. They are sorted in ascending order and the numbers range from 177 to 228,953. I'd like to specify N non-overlapping intervals covering the range from 0 to 229,354 and then for each range, count the number of integers from samp1

Dear all, S+Finmetrics has a number of very specilised functions. I am particularly interested in the estimation of cointegrated VARs (chapter 12 of Zivot and Wang). In this context the functions coint() and VECM() stand out. I looked at package "dse1", but found no comparable functionality. Are there any other packages you could point me to? In general, are there efforts for

Finmetrics (in S-PLUS) has teh functions "positions" (return the positions of an ordered data object). Is there an equivalent to it in Remtrics? I am applying it to teh data of a time series.

please !, what is the R equivalents for the S-plus package : S+FinMetrics thanks hassan [[alternative HTML version deleted]]

Good Evening, I'm using R1.2.1. Is 3D plotting available? The only reference I find is to "plot.locfit.3d {locfit}" and the documentation says the function is not currently available in R. Any help is appreciated. Best Regards, Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Greetings RListers, I have a data set containing two types of outcomes; success and failure. Associated with each outcome are 12 different measurements. I'm trying to find out, for example, if some of the 12 measures are associated more with success or failure or, if there's any relationship at all between the measures and the outcomes (success or failure). I don't have (as yet)

Hi, I apologize in advance if this is the wrong area to post this message. I would like to know if there is an "R" equivalent for the "S+finMetrics" package? I'd like to be able to use "R" to go through the examples provided in the book "Modeling Financial Time-Series with S-Plus" (E. Zivot and J. Wang). I was told that "R" and

Is there a function in R that is equivalent to S-PLUS's seriesMerge(x1, x2, pos="union") where x1, and x2 are of class timeSeries seriesMerge is in S-PLUS's finmetrics. I looked into R's mergeSeries (in fSeries part of Rmetrics) but I could not make it behave quite the same. In R it expected a timeSeries object and a matrix of the same row count. In S-PLUS when using the

Greetings R-Listers, Using R1.2.1 (yes, I know...) I am writing my own functions and would like to know how save these for use in subsequent R sessions. How does one do this? Best, Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Happy Holidays All, I'm trying to use stl() to extract a seasonal component from a time series. I believe the root cause of my problem lies in how I imported the data into R. In Excel (csv), the data look like: Jan Feb Mar .... 1949 12.2 9.0 7.9 .... 1950 17.2 16.9 9.9 .... 1951 8.2 7.0 7.7 .... I import to R using:

Hi Folks, Sorry to raise what has probably been discussed before, but I an repeatedly struck by the comparative slowness of S-plus for Windows compared with R for Linux when doing much the same thing. I don't have a direct comparison, because they're not running on the same machine; but machine W has a faster CPU and more RAM than machine L, yet S-plus on W seems to take longer by quite

Greetings, Are there R packages that perform time-series analyses - particularly estimation of ARIMA models along with unit-root tests? I know that FinMetrics in the S-Plus program will do it, but I'm looking for R packages, as well any reference material for estimating time-series' models in R. Thanks in advance, David --

Hi, I am trying to figure how to use dlm with constant terms (possibly time-dependent) added to both equations y_t = c_t + F_t\theta_t + v_t \theta_t = d_t + G_t\theta_{t-1} + w_t, in the way that S-PLUS Finmetrics does? Is there any straightforward way to transform the above to the default setup? Thanks, Tsvetan -------------------------------------------------------- NOTICE: If received in

Hi, I am trying to fit a GARCH(1,1) model to a financial timeseries using the 'garch' function in the tseries package. However the parameter estimates obtained sometimes match with those obtained using SAS or S-Plus (Finmetrics) and sometimes show a completely different result. I understand that this could be due to the way optimization of MLEs are done, however, I would appreciate any

Dear r list, I posted this on the S list last week since i'm using some of the FinMetrics functions on copula. Knowing there is a copula package in R, I figure this would be an appropriate forum to ask this question. I want to model inverse relationship between two (non-normal, non-symmetric) marginals with the gumbel copula, or with any copula. Say, x is lognormal and y is norm. Since

When doing ?Nile, the url for the data source is dead. It says http://www.= ssfpack.com/dkbook/ but this has changed to=20 http://www.ssfpack.com/DKbook.html Version: platform =3D i386-redhat-linux-gnu arch =3D i386 os =3D linux-gnu system =3D i386, linux-gnu status =3D major =3D 2 minor =3D 10.0 year =3D 2009 month =3D 10 day =3D 26 svn rev =3D 50208 language =3D R version.string

Hi, I am trying to create a perspective plot with Time on the x-axis, Underlying Price on the y-axis, and Option Price on the z-axis. But I don't like the way my x-axis is setup. Right now, Time is this sequence. Time = seq(from = 1/52, to = 1, by=1/52) That results in the x-axis going from 0 at the back, to 1 near the foreground corner.(If that makes any sense) I want to do the

Greetings, Does anyone know if R-Quant, http://www.smartquant.com/ an outgrowth of the statistical package "R"? Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

Hi, (apologies for cross-posting) SolutionMetrics is presenting Introductory & Intermediate R and S+ courses in Brisbane, Melbourne & Sydney - March & April 2013. S+ FinMetrics course in Sydney - June 2013. More info below. Course Schedule - Click Here<http://bit.ly/13lJ4ag> To book, please email enquiries@solutionmetrics.com.au<mailto:enquiries@solutionmetrics.com.au>

I have a monthly price index series x, the related return series y = diff(log(x)) and a POSIXlt date-time variable dp. I would like to apply annual blocks to compute for example annual block maxima and mean of y. When studying the POSIX classes, in the first stage of the learning curve, I computed the maximum drawdown of x: > mdd <- maxdrawdown(x) > max.dd <- mdd$maxdrawdown > from