similar to: Weird POSIXct behaviour

When I say: > Sys.time() [1] "2012-11-12 21:30:14 NZDT" > But that is not what my clock on the wall and my system say. Cannot show you my clock but... worik@lemy:/tmp$ date Tue Nov 13 10:32:20 NZDT 2012 Sys.time() is returning GMT $version.string [1] "R version 2.14.1 (2011-12-22)" > Sys.timezone() [1] "NZDT" > I'm a little lost! Worik

>>>>> Ji?? Moravec >>>>> on Wed, 7 Feb 2024 10:23:15 +1300 writes: > This is my first time working with dates, so if the answer is "Duh, work > with POSIXt", please ignore it. > Why is not `round.Date` and `trunc.Date` "implemented" for `Date`? > Is this because `Date` is (mostly) a virtual class setup for a

> On 8 Feb 2024, at 15:15, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> Ji?? Moravec >>>>>> on Wed, 7 Feb 2024 10:23:15 +1300 writes: > >> This is my first time working with dates, so if the answer is "Duh, work >> with POSIXt", please ignore it. > >> Why is not `round.Date` and

as jim pointed out ( i think we were figuring this out simultaneously. thanks a lot jim ), it looks it does have something to do with the fact that it's a zoo object because below i consider two cases. in the first case, fxdatab is a zoo object and i get the length of temp to be 1. in the second case, fxdatac is a matrix and the results in temp are correct. gabor : i really hate to bother

Technically, there is a round() for 'Date' objects, but it doesn't seem very useful, because it basically just fall back to the default round() method, which only takes the 'digits' argument. Here's an example: > date <- Sys.Date() > class(date) [1] "Date" We see that there are only two round() methods in addition to the implicit built-in one; >

?s 14:36 de 08/02/2024, Olivier Benz via R-devel escreveu: >> On 8 Feb 2024, at 15:15, Martin Maechler <maechler at stat.math.ethz.ch> wrote: >> >>>>>>> Ji?? Moravec >>>>>>> on Wed, 7 Feb 2024 10:23:15 +1300 writes: >> >>> This is my first time working with dates, so if the answer is "Duh, work >>> with

This is my first time working with dates, so if the answer is "Duh, work with POSIXt", please ignore it. Why is not `round.Date` and `trunc.Date` "implemented" for `Date`? Is this because `Date` is (mostly) a virtual class setup for a better inheritance or is that something that is just missing? (like `sort.data.frame`). Would R core welcome a patch? I decided to convert

I have the structure, fxdata, below and I want to only keep data points of it in which the "bid" and the "ask" column names are both greater than zero. It's very hard to reproduce my problem because it seems like the behavior ( whether it gets rid of all the the zeros or not ) depends on the size of fxdata ? I had the following line for doing the above :

Given the following snippet.... m.nf.xts <- xts(rep(0, length(index(m.xts))), order.by=index(m.xts)) Does R know to cache the index(m.xts) or is it more efficient to say... m.i <- index(m.xts) m.nf.xts <- xts(rep(0, length(m.i)), order.by=index(m.i)) ? cheers Worik [[alternative HTML version deleted]]

Is it possible to get a line number with an error report? I have a long script and an error: Error in `[.xts`(x, xsubset) : subscript out of bounds It would be very helpful, and save a lot of time, if there was some indication in the error message which line the error was. I can find it using binary search but that is a painful process. cheers Worik [[alternative HTML version deleted]]

I have a xts object with logical data . > tail(q1) ..1 2010-02-19 TRUE 2010-02-22 FALSE 2010-02-23 FALSE 2010-02-24 FALSE 2010-02-25 FALSE 2010-02-26 FALSE > I want to build a xts that records the dates that there is a change. If TRUE -> FALSE it is "down" if FALSE -> TRUE it is "up" I can do it like this... q2 <- matrix(ncol=2, nrow =

would someone be kind enough to paste the code below into an R session ( ir you can paste it into a file and just source it ) and take a look at it ? I must be doing something wrong but i can't find it. I start out with a zoo object that has 100 elements in it. then, i only want to keep the rows in which the bid and the ask are both grester than zero. ( maybe my logic is wrong there ? ).

I have two data frames, with two columns each, the first being a Date variable. I would like to convert them to xts objects, indexed by the Date column. I would like to use as.Date and not as.POSIXct as the dateformat. The puzzling fact is that it works for the first one but not the other. Here is a screenshot of the error: > str(DF1) 'data.frame': 367 obs. of 2 variables: $

I'm still having trouble getting to grips with time classes. I wish to calculate the difference in days between events. Browse[1]> insp.j$First [1] "2002-02-19 13:00:00 NZDT" Browse[1]> spray.j$Date [1] "2001-11-29 13:00:00 NZDT" Browse[1]> insp.jk - spray.j$Date Time difference of 82 days If I save insp.jk to a vector, I get a nice useful value of 82.

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this one is not a false alarm like my previous message. i have cut and paste the code below so if anyone could run it would be appreciated. basically, my question is why the horizontal axis of the acf plot is labelled with such huge numbers when the labels should be 1 through 10 since may lag.max = 10 ? i looked at the cdoe of acf but it was pretty much beyond me. i think it has something to

Hi, I have an xts starting with a number of columns (currency pairs see below), then I add new ones which are derived from existing ones (like adding the moving average of a column) by merging the new columns one by one. These get the name of the column they are calculated from concatenated with ".1". All done by merge.xts, easy. Now, I have a function (procState below) which generates

Hello, My programming is as follows. library(highfrequency) library(data.table) library(xts) tm<-seq.POSIXt(from = as.POSIXct("2020-08-20 09:30:00"),to = as.POSIXct("2020-08-20 15:59:00"),by='min') data<-xts(x=data$PRICE,order.by=tm) data <- as.data.table(data) setnames(data,c('index'),c('DT')) setnames(data,c('V1'),c('PRICE'))

Hello, I'm a complete newbie to R. Spent this past weekend reading The Art of R Programming, The R Cookbook, the language spec, Wikis and FAQs. I sort-of have my head around R; the dizzying selection of libraries, packages, etc? Not really. I've probably missed or failed to understand something... I have very a simple data set. Two years (ish) of temperature data, collected and

Hi, I used to upgrade/migrated samba 3.3.10 to samba 3.4.17 with LDAP backend in place, while upgrading the CentOS from 5.5 to 5.9. In place to retain the trust relationship. The users can able to login without re-authentication from existing machines. Tested 3 XPs, and 3 Win7 but it takes 5-8 mins to login compared to 1 win7 that was re-connected (disconnected from domain, restart, then rejoin