similar to: read attribute

Hi there, I'm rying to 'turn' an Schunk in an .Rnw file(Xemacs-21.4.13, ESS-5.2.8, R-2.1, miktex-2.4.1705). Has anyone got the isorot package to work with Sweave? JC example test.Rnw: \documentclass[a4paper]{article} \usepackage{Sweave} \usepackage{isorot} \rotdriver{dvips} \clockwise \title{Sweave Example 1} \author{apologies to Friedrich Leisch } \begin{document} \maketitle

HI: I need ideas on how to make this code shorter (maybe with a second loop?). The code as it is works, but in this case I only have 14 samples, but it will become insane with more, so I need a way to make it more automatic. The problem is that the output from ts1, ts2, and so on is a vector with more than one value, so I do not know how to solve this. Thanks Prenewbie The code is the

Dear R-help, How could a cross-correlation plot be optimized such that the relationship between seasonal time-series can be studied? We are working with strong seasonal time-series and derived a cross-correlation plot to study the relationship between time-series. The seasonal variation however strongly influences the cross-correlation plot and the plot seems to be ?rather? symmetrical (max

# Here is the solution: require(fBasics) # Be sure that R is running in time zone GMT. # Set your Windows environment variable to "GMT" # Your PC Windows clock can still run in any other time zone! # My clock is now running in Zurich in Europe. Date = c("2003-10-09", "2003-10-10", "2003-10-13", "2003-10-14") Open = c(1.27, 1.25, 1.27,

Hello R Gurus: I would like to take a character string and split at the $ sign. I thought that strsplit would do it, but here are the results: > vv [1] "whine$ts1" > vv [1] "whine$ts1" > strsplit(vv,"$") [[1]] [1] "whine$ts1" Does anyone have any suggestions, please? Thanks, Edna Bell

HI, May be this helps: ?ts1<- ts(1:20) ?ts2<- ts(1:25) ts1[-(1:3)]<- ts1[-(1:3)]+ts2[1:17] ?as.numeric(ts1) # [1]? 1? 2? 3? 5? 7? 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 A.K. Hey everyone, I`m an absolut beginner in R and need some help for an exercise: I want to do ordinary calculations with 2 time series. The issue with this, that I want to use different elements of time

Dear list, I am trying to produce a pdf manual using Rtools (version 3.1.0.1936) on Windows 8 (64-bit). I am also aware of the inconsolata issue posted in the forum (https://stat.ethz.ch/pipermail/r-devel/2013-June/066850.html), and then I have installed the patched version of R-3.0.1. However I still have some errors with the following message: R CMD Rd2pdf mypack Hmm ... looks like a package

Dear Helpers, I am looking for methods and tools to compare and then to concatenate two successive time series. They are both in the same frequency and they describe one phenomena. There is no time gap between them. The problem is that the method of measurements has changed between both time series and they are no statistically the same. I would like to merge them to receive one homogeneous

Hi, I'm having problems trying to join my XPpro boxes to a Samba (2.2.7a) domain. I was able to get 1 XP box to join (the very first one) but the rest complain about a duplicate name on the network just after I enter the root/pw when joining the domain. None of the smb user names are in common with the machine names. The NT4 workstations have no problem joining the samba domain. All

One thing that has given me trouble is the fact that the time series implementation in the class ts relies on the concept of a "start" to the time series. For example, if I have ts1 <- ts(c(1,2,3)) dts1 <- diff(ts1) then dts1 will be a vector c(1,1) but with the attribute start = 2. Similarly, when one takes lags the "start" is moved around and the underlying vector

Hi, I have a problem with the appearance of legend in my plots. If I specify the legend positions in characters like "topright"..etc, it appears, if i specify it in terms of coordinates like "-1, 1" .. etc, it does not appear. Can anyone help me with this? script - x.date <- as.Date(paste(year, month, day, sep="-")) ts1.n.e3 <- ts(data.nemr.e3[,3]) z1.n.e3

Hi, All, This is my program ts1.sim <- arima.sim(list(order = c(1,1,0), ar = c(0.7)), n = 200) ts2.sim <- arima.sim(list(order = c(1,1,0), ar = c(0.5)), n = 200) tdata<-ts(c(ts1.sim[-1],ts2.sim[-1])) tre<-c(rep(0,200),rep(1,200)) gender<-rbinom(400,1,.5) x<-matrix(0,2,400) x[1,]<-tre x[2,]<-gender fit <- arima(tdata, c(1, 1, 0), method = "CSS",xreg=t(x))

I am interested in creating multiple (say 1000) time series, from a given stochastic process, of length 250. I want to refer to each realization with its own variable name, of the format say, tsn, where n is the n'th simulation. i.e. ts1, ts2, ts3, ts4, .... , ts1000 The way I am thinking of doing this is placing the following code within another loop, and the 'tsn' assignment should

For a model I am working on, I have samples organized by year and week of the year. For this model, the data (year and week) comes from the basic sample data, but I require a value representing the amount of time since the sample was taken (actually, for the purpose of the model, it is sufficient to use the number of weeks from the middle of the sample week to the present). What I have found so

Hi R users: When I try to merge or bind (cbind or rbind) two series, both with a "FinCenter" different that GMT, the result is "GMT" not the original financial center? What am I doing wrong? ###################################################### require(timeSeries) getRmetricsOptions("myFinCenter") setRmetricsOptions(myFinCenter = "America/Bogota")

what package should I include to use timeDate? I want to convert a double (num of millis) into date object.

Hello, We have successfully implemented a 2-node HA Xen cluster with DRBD, LVM and heartbeat, that can do live migration. I wrote up some details here: http://te.to/~ts1/xen_cluster.html I''d like to say thank you to all the people writing these great software. -- Takeshi _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

Hello, We have successfully implemented a 2-node HA Xen cluster with DRBD, LVM and heartbeat, that can do live migration. I wrote up some details here: http://te.to/~ts1/xen_cluster.html I''d like to say thank you to all the people writing these great software. -- Takeshi _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

I have the following model: m1.dis=arima(diff(diff(log(ts1),lag=12)),order=c(0,1,1),seasonal=list(order=c(0,1,1),period=12)) I would like to know how to plot the correct predictions in the original units because I am trying the following code but it is not working. I believe that there must be something to account for the differencing.

To the Lattice expert - I am new to the lattice package and I would like to add a curve to the xyplot(). I know that I need to use panel function to add it. But it doesn't work. Is there anyone can help me out on how to transfer the data into the function? The following is my code and I would like to add lines for xx,yy xx <- seq(0,1,length = 100); yy <-