similar to: DateTime Math in R - POSIXct

I have timstamped data like this: > sd[1:10,] Tstamp Density Mesh50 Mesh70 Mesh100 Mesh150 Mesh200 2 2009/02/27 07:00 30.5 0.7 10.7 21.4 32.8 41.6 3 2009/02/27 08:00 32.2 1.6 12.4 23.3 34.5 43.0 4 2009/02/27 09:00 32.7 4.8 13.0 24.0 35.1 43.5 5 2009/02/27 10:00 26.7 0.3 6.5 17.6 28.1 36.9 6 2009/02/27 11:00

The documentation for the POSIXlt class states '"POSIXlt" objects will often have an attribute "tzone", a character vector of length 3 giving the time zone name from the TZ environment variable and the names of the base time zone and the alternate (daylight-saving) time zone. Sometimes this may just be of length one, giving the time zone

Hello! I've time stamp ('time') field in dataset ('dt') with values like "18:10", "19:43", .... I need to split time field into hour and minutes and add both as new columns to dataset. We are able to do it in bash+awk, but curious to stay within R codebase as much as possible. For now we are using such solution: tstamp <- strsplit(dt$time,

Neither of these have reached me on R-devel (and only PR#8103 is on the archive), and they seem to be the same error although neither mentions the other. That's 'odd', to quote one of them. "EDT" is not a valid POSIX timezone (but, say, EST5EDT is). R's docs are quite clear that what happens with invalid inputs is system-specific. (Windows seems often to run home

This replaces the build dependency on perl with one on awk which is already used in the build system and is much more ubiquitous than perl --- Makefile.in | 2 +- mkproto.awk | 39 +++++++++++++++++++++++++++++++++++++++ mkproto.pl | 48 ------------------------------------------------ 3 files changed, 40 insertions(+), 49 deletions(-) create mode 100644 mkproto.awk delete mode 100644

I have a fairly large set of data with the following attributes: >str(raw.data) `data.frame': 1429 obs. of 16 variables: $ TStamp :`POSIXlt', format: chr "2001-11-25 02:00:00" "2001-11-25 01:55:00" "2001-11-25 01:50:00" "2001-11-25 01:45:00" ... $ iPDT.AHU14.14: num 0.0122 0.0125 0.0120 0.0120 0.0122 ... $ iPDT.AHU14.15: num 0.0121

the help page for plot.POSIXct says "As from R 2.9.0 the date-times for a '"POSIXct"' input are interpreted in the timwzonw give by the '"tzone"' attribute it there is one, otherwise the current timezone. (Earlier vrsions always used the current timezone.)" however I am using 2.9.0 on linux and the following still happily produces an

Hello: What is the recommended method for retaining the tzone attributes when concatonating POSIXct objects? > (d1 <- ISOdate(1970,1,1)) # Sets the tzone attribute = GMT [1] "1970-01-01 12:00:00 GMT" > (d1.2 <- c(d1, d1)) # c(..) strips the tzone attribute, displays in the time zone of the operating system [1] "1970-01-01 04:00:00 PST" "1970-01-01

R developers, The "tzone" attribute is stripped from a POSIXct object when the subscript command is called ("[.POISXct"). This results in dates being printed in the locale specific format after a subscript operation is applied to a POSIXct object which has cause several problems for me in the past. Here is an example of this problem under R 1.9.1: > x <-

I am finding that axis.POSIXct uses the local timezone for deciding where to put tic marks, even if the data being plotted are in another time zone. The solution is to use attr() to copy from the 'x' (provided as an argument) to the 'z' (used for the 'at' locations). I have pasted my proposed solution in section 1 below (as a diff). Then, in section 2, I'll put some

Running under Windows XP 64 bit, as.POSIXlt()/as.POSIXct() seem to think that US time zones (EST5EDT, MST7MDT) switched from daylight savings back to standard time on Oct 28, 2007, whereas the switch is actually on Sun Nov 04, 2007. Examples: > Sys.timezone() [1] "Mountain Daylight Time" > as.POSIXct("2007-10-30 12:38:47") [1] "2007-10-30 12:38:47 Mountain

Hi, I have some dates that are giving me a problem, in general the dates look like this: free.dates[60:61] [1] "2009-05-21 23:45:00 GMT" "2009-05-22 00:00:00 GMT" but for some reason, when taken "alone", they look like this: free.dates[60] [1] "2009-05-21 23:45:00 GMT" free.dates[61] [1] "2009-05-22 GMT" # the time component is gone, and

Full_Name: Bo Zhou Version: 2.6.1 (2007-11-26) OS: Windows XP Submission from: (NULL) (207.237.54.242) Hi, I found an arithmetic problem when I'm doing something with POSIXct The code to reproduce it is as follows (This is the recommended way of finding out time zone difference on R News 2004-1 Page 32 URL http://cran.r-project.org/doc/Rnews/Rnews_2004-1.pdf) a=Sys.time()

Best R-users, Here’s a newbie question. I have tried to find an answer to this via help and the “ave(x,factor(),FUN=function(y) rank (z,tie=’first’)”-function, but without success. I have a dataframe (~8000 observations, registerdata) with four columns: id, dg1, dg2 and date(YYYY-MM-DD) of interest: id;dg1;dg2;date; 1;F28;;1997-11-04;

I have a situation where my zpool (with two radiz2s) is resilvering and reaches a certain point, then starts over. There no read, write or checksum errors. The disks do have a fair amount of resilvering to do, as I''ve had a variety of disk failures. But at the core of things, there''s enough parity data to avoid data loss, and the zpool is functioning fine, albeit in a

I have timestamps from mysql database: > dput(tstamp) c(1225221868L, 1225221906L, 1225221906L, 1225230997L, 1225231000L, 1225231003L, 1225231152L, 1225231348L, 1225231351L, 1225231400L ) How to convert these into normal dates? Thanks, jrara

Using read.table now on large files. Scan should be faster reading and parsing the files if a 'what' list is provided. How would I generate a what list that repeats the the last 4 elements n (n=14 or 10 or 8) times? whatlist=list(Tstamp="",Condition=0,A1=0,B1=0,C1=0,D1=0) All are numeric, either decimal or hexadecimal. Thanks in advance, Alex van der Spek

Hi guys I have a reasonably basic question with zoo usage, but I havent been able to find a satisfactory workaround yet. Heres a simple example of what I'm talking about (the following data frame contains numeric columns that contains NAs): > head(ebs) time src tstamp code bid ask 1 2009-03-03 13:03:29.536 perf.Tib_listener 14980321164 EBS.REC.EURJPY=EBS.NaE 123.48 NA 2 2009-03-03

I am trying to implement an ANOVA on a pair of quantile regression models in R. The anova.rq() function performs a basic check to see whether the models are nested, but I think this check is failing in my case. I think my models are nested despite the anova.rqlist() function saying otherwise. Here is an example where the GLM ANOVA regards the models as nested, but the quantile regression ANOVA

I know this topic has been discussed many times... but what the hell makes zpool resilvering so slow? I''m running OpenSolaris 2009.06. I have had a large number of problematic disks due to a bad production batch, leading me to resilver quite a few times, progressively replacing each disk as it dies (and now preemptively removing disks.) My complaint is that resilvering ends up