search for: xt1

I have a need to build a time series and there are a couple of aspects about the time series object that are confusing me. First it seems that ts.union is not doing what I would expect. For example: x0 <- rep(0,10) x1 <- rep(1,10) xt0 <- ts(x0, frequency=10) xt1 <- ts(x1, frequency=10) st2 <- ts.union(xt0, xt1) > xt2 Time Series: Start = c(1, 1) End = c(1, 10) Frequency = 10 xt0 xt1 1.0 0 1 1.1 0 1 1.2 0 1 1.3 0 1 1.4 0 1 1.5 0 1 1.6 0 1 1.7 0 1 1.8 0 1 1.9 0 1 > spectrum(xt2) Error in plot.windo...

Hi All , Could you please tell using which library ,Dickey-Fuller Test can be run? Thanks a lot __________________________________________________ [[alternative HTML version deleted]]

I have and XTS time series object that has date and time. I started with 1 minute data and used apply.daily(x, sum) to sum the data to one cumulative value. This function works just fine however it leaves a time for the last summed value which looks like this 2006-07-19 14:58:00. I need to just have the date and to remove the time value of 14:58:00 just leaving the date value of 2006-07-19 .

...algebra.core.formulae 46 TRUE 03/01/2013 11:29 03/01/2013 214173 fdp.percentage_calc_foundation 146 TRUE ",sep="",header=TRUE,stringsAsFactors=FALSE) ?dat2<- data.frame(timestamp=as.POSIXct(paste(dat1[,1],dat1[,2]),format="%m/%d/%Y %H:%M"), dat1[,-c(1:2)]) ?library(xts) xt1<- xts(dat2[,-1],dat2[,1]) library(stringr) ##1st part ?nrow(xt1["2013-03-01 11:15/2013-03-01 11:28"]) #[1] 46 ##2nd part table(xt1["2013-03-01 11:15/2013-03-01 11:28","topic"]) # #??????? algebra.core.equations????????? algebra.core.formulae #???????????????????...

i have converted my data into date format like below: > day=as.Date(originaldate,"%m/%d/%Y") > day[1:5] [1] "2008-04-12" "2011-07-02" "2011-09-02" "2008-04-12" "2008-04-12" I wish to select only those observations from 2007 to 2009, how can I select from this list? [[alternative HTML version deleted]]

...1/03/70 18:00:00) (01/07/70 06:00:00) (01/10/70 18:00:00) [4] (01/14/70 06:00:00) and we would like to know how much time is included in a number of intervals within each event. We can define the intervals with two chron vectors: R> (xt0 <- times(c(0.50, 0))) [1] 12:00:00 00:00:00 R> (xt1 <- times(c(1 - (1 / 86400), 0.25))) [1] 23:59:59 06:00:00 So for the first event, 01/02/70 06:00:00 to 01/03/70 18:00:00, the interest is to find how much time corresponds to periods 12:00:00 - 23:59:59 and 00:00:00 - 06:00:00. I began writing a function to accomplish this task, but am at an...

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1

Hi, I have a set of x, y points where x represents dates and y actual values. I am trying to plot a line graph of the data with points on top, but R is connecting the wrong points with lines. Does anyone know how I can rectify this. Please see sample below: x= 24/09/2009 09:13 16/10/2009 11:17 24/10/2009 21:43 11/09/2009 18:34 22/08/2009 15:45 10/08/2009 00:30 14/08/2009 14:52 24/09/2009

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Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking

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