similar to: cumulative time durations of specified periods (chron)

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

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

I just used Nick Mae's well written HOWTO on setting up Cacti on CentOS 4.xto setup Cacti on my CentOS 5.1 system : http://wiki.centos.org/HowTos/Cacti_on_CentOS_4.x I was hoping to add a page or section for CentOS 5.x with the modifications I'm including below. My wiki.centos.org username is "GeneWood" Changes : # Make sure snmpd accepts 'public' as public

HI, May be this helps: dat1<- read.table(text=" date1 time????????????????? date??????? timeSec topic pupilId correct 02/01/2013 14:58 02/01/2013 140323 fdp.fdp 40 TRUE 02/01/2013 14:59 02/01/2013 140372 fdp.fdp 150 TRUE 03/01/2013 11:23 03/01/2013 213833 fdp.percentage_calc_foundation 15 TRUE 03/01/2013 11:23 03/01/2013 213839 fdp.percentage_calc_foundation 57 TRUE 03/01/2013 11:24

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 .

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]]

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

Yes it is precise, if Y is constant and 1/Y is exact. In this case, this transformation is conducted without "-fast-math". What I meant is if 1/Y is not exact. I measured the results before. Among all fast-math transformation, reciprocal is most annoying one because it is very imprecise. I was arguing at that time that reciprocal should be ranked as the most relax xfrom. It seems

On Thu, Aug 08, 2013 at 10:13:07AM -0700, Shuxin Yang wrote: > You should be very careful, reciprocal is very very very imprecise > transformation. Sometimes you will see big different > with and without this xform. What about constant %a, %b in this case? At least for power-of-two arguments, wouldn't it still be precise? Joerg

Hello -- So, I have a bunch of apps on my dev box, all currently v1.0.0. I thought I could use the freezing techniques to test each app for 1.1.x compatibility individually, but that doesn''t seem to be working out... First, I checked out from http://dev.rubyonrails.org/svn/rails/tags/rel_1-1-2/ into vendor/rails Then I ran "rake rails:update". Then I went into console, and

Hi, I've set an Asterisk 11 box with a TDM400 board and Dahdi 2.7.0.1. I've connected an FXS port to an FXO one and issued a couple of channel originate command to measure the duration Asterisk/Dahdi needs to detect a dahdi call is coming in. Basically, using EPOCH variable, I'm reading a 2 or 3s duration with the followinf AEL2 dialplan: context remote { s => { if

After a few other attempts at hacks to determine start times of pages, the only other option left is to partially decode the packets in the demuxer in order to give correct start time stamps after a seek. Someone mentioned it was relatively easy to do without a full decode. I've had a bit of a search in the mailing lists and on the web and can't find any details about it. What i need is

Hi, I am working with a dataset for sometime and I need some help in parsing some data. There is a column called "Duration" which has data like following: 2 minutes => 120 2 min => 120 10 seconds =>10 2 hrs =>7200 2-3 minutes => 150 or 120 5 minutes (when i arrived => 300 Flyby approx 20 sec. => 20 felt like 10 mins but tim => 600 I need to convert them to

Hi all, Here's what I have. I have a list of log-in times for users and how long their sessions were. user, login_time, session_min alice, 2010/01/01 10:00, 145 bob, 2010/01/01 11:00, 30 What I want to do is create a bar chart showing, in 1/2 hour segments, the number of users logged in at the same time. For example: 10:00 1 10:30 1 11:00 2 11:30 1 The only way I can do this now is to

Heh heh heh. Whoops. I've spent a few hours digging around in the source and nearly posted a kludge of a patch I'd written to give a kind of half-baked attempt at getting group-usable subscriptions files. Then I came across something in the source........ In the config file, do something like the following: namespace public { separator = / prefix = Public/ location =

A student of mine has 110 similarly structured multivariate time series, and we're interested in methods that are practical for thousands of them. Basically each series describes a series of musical notes, and certain properties of these notes are recorded. The same set of properties is recorded for each series. The event times are irregular. The number of events and the event times are

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

I am using period as an IMAP separator with Maildir directories and I cannot share folders where the user has a period in their name. Suppose I log in as 'some.user' and do: SETACL INBOX mailtest at example.co.uk +lrwstipekxacd /var/mail/virtual/users/some.user/Maildir/dovecot-acl is created, with appropriate contents and shared-mailboxes.db gains an entry for

Basic question: when I use names() to extract the name of a dataframe element, why does it have "." instead of " " between words? Context: I'm importing a CSV file of survey results for analysis. I read them like this: df <- read.csv("surveydata.csv",nrows=40,header=TRUE,

g'day R guru's. Could someone help me out with 2 'chron' questions please (I've been using the 'date' package but I need time handling)? The doco doesn't cover everything and I'm too green to understand all the code. When my chron object is printed using 'print' the output is not in the format requested by the default attributes. What am I doing