similar to: Julian Dates

Hi, I have a column in a dataframe in the form of: > as.vector(SLDATX[1:20]) [1] "1/6/1986" "1/17/1986" "2/2/1986" "2/4/1986" "2/4/1986" [6] "2/21/1986" "3/6/1986" "3/25/1986" "4/6/1986" "4/10/1986" [11] "4/23/1986" "4/30/1986" "5/8/1986"

Dear Rs I have a single table with three columns in the following form: 1 100 150 1 45 32 1 99 100 2 150 33 2 22 87 2 71 31 .... .... 1000 64 32 1 100 150 1 45 32 1 99 100 2 22 89 2 31 44 2 88 11 .... .... 1200 64 32 1 100 150 1 45 32 1 99 100 2 150 33 2 22 87 2 71 31 ... ... 1100 31 34 Totally 1000+1200+1100 rows. Now, I need to group by first column and average then second and third column

Dear all, I am pretty new to R only having an introduction course, so please bare with me. I am doing my PhD at The Max Planck Institute of Immunobiology where I am analyzing some calorimetry data from some mice. I have a spreadsheet consisting of measurements of the respiratory exchange rate at different time points measured every 9 minutes over some days. My goal is "bin"/average the

Dear all, I have just detected what seems a minor inconsistence with data types. If one unlists a POSIXlt time with GMT zone gets a numeric vector, since the POSIXlt list has no `zone` element, while if one unlists a POSIXlt time with a non GMT zone (also non specifying tz if the Sys.timezone is not GMT) gets a character vector due to including the `zone` element. > x <-

Hi, I am trying to get an error estimation for a classification done using lda. The examples work fine, however I don't get my own code to work. The data is in object d > d class hydrophobicity charge geometry 1 2 6490.0400 1434.9700 610.99902 2 2 1602.0601 400.6030 -5824.00000 3 2 969.0060 260.1360 -415.00000 4 1

Hi All, I have a function that is used with data frames having multiple id's per row and it aggregates the data down to 1 id per row. It also randomly selects one of the within-id values of a variable (mod), which often differ within-id. Assume this data frame (below) is much larger and I want to repeat this function, say 100 times, and then derive the mean values of r over those 100

I have data that looks like below and I would like to re-order the values within the "date" column. I would like to have each year organized like so: Sep-71 Oct-71 Nov-71 Dec-71 Jan-71 Feb-71 Mar-71 Apr-71 May-71 Jun-71 Jul-71 Aug-71 Sep-72 Oct-72 etc... Is there any way I can order the column in my own fashion and just move Sep-Dec to the beginning of each year? I am planning on doing

I'll try to be more clear, but will have to give much more info. Here we go.... As part of my Masters in Public Health I writing a dissertation reviewing the mortality trend of internally displaced persons in camp settings in Sub Saharan Africa. I have 50 surveys with - crude mortality rate (cmr), CMR lower confidence interval(cmrlci), CMR upper confidence interval(cmruci), - recall period

Hello, I wanted to try some multipath setup with Julian''s patches, and when rebooting on the newly patched kernel, without any multipath routes (only one interface up and one default gateway), my SSH connections to the server freeze after a few seconds. I tried with and without bridges (I sometimes have a bridge between a tap device and my eth0) with the same results. When I close

I''m using a 2.6.20-15-ubuntu (shipped with feisty) kernel with Julian''s patches applied and it''s my 3rd day with tc, ip, ifconfig and the rest ;). Got 2 ADSL uplinks. What I need is an ability to manually configure uplink usage, so nothing like bonding by default. Failover is meant to be provided via a shell script at the next step. Here is my config: == # no need for

In http://www.ssi.bg/~ja/dgd.txt I read: -- - key "gw" for ip_route_output used to select the right route for the gateway - key "lsrc" for ip_route_input used to find the best unicast route between this IP and the destination address (similar to output routing call but still makes the checks needed for input packet). -- Could someone please provide a couple

As I''ve read in http://gnumonks.org/papers/netfilter-lk2000/presentation.html, there''s said about the "nat" netfilter table: "This table is different from the ''filter'' table, in that only the first packet of a new connection will traverse the table. The result of this traversal is then applied to all future packets of the same connection." I

Another beginner's question. Still trying trying to read and and plot a simple tds-value vs time. input file: onedat date time tds 1997-12-29 13:35:00 411 > onedat<-read.table("onedat",header=T) attach(onedat) > x<-chron(dates=as.vector(date),times=as.vector(time), format=c("y-md","h:m:s")) > x [1] (97-12-29 13:35:00) See my problem? Chron

Hi, I've found the Vertical Service Codes / vservices.inc of Julian in the cache of google. It's an very extended extensions include with all the *21 *67 etc services implemented so it is stored to ODBC or if you replace it to Dbget/put etc. I'm wondering if somebody has the macro/agi for using these extensions once stored in the Asterisk db or ODBC. Or am I missing something? And

I am using the "chron" package. Can anyone tell me if there is a simple way to convert a date object (obtained from the "dates" function) into a julian date (using the "julian" function)? Thanks, Al. Al Merrifield Energy Analyst Energy Modelling & Statistics Ministry of Economic Development PO Box 1473 Wellington NEW ZEALAND Phone: (04) 470 2338 Fax: (04)

It appears that julian() is in R-base, but julian.default() is in the chron package. > search() [1] ".GlobalEnv" "package:ctest" "Autoloads" "package:base" > julian(1:3,4:6,1991:1993) Error in julian(1:3, 4:6, 1991:1993) : no applicable method for "julian" > find('julian') [1] "package:base" >

I used to run the julian function from chron but this new version of R has also a julian function in the base package that doesn't do exactly what I need. Is there a way of telling R to run the function from chron and not from base? Thanks, Fernando __________________________ Fernando Colchero Doctoral Fellow Duke University Department of Ecology

Hi, Is there a package for converting day-month-year type date to julian day number (JDN)? I looked around and I couldn't find any (I am pretty new to R...) Thanks and happy New Year to everybody! H. N?zhet Dalfes Professor, Istanbul Technical University Eurasia Institute of Earth Sciences +90 (532) 206-1308 [dalfes at itu.edu.tr]

Hi r-helpers... Why do I get this strange huge jump of 36524 days when changing "origin" from 1969-01-01 to 1968-12-31. It should still be close to zero! This really messes up my calculations of follow-up times in my analyses. > julian(strptime("010169", format = "%d%m%y"),origin = as.Date("1969-01-01")) > Time difference of -0.04166667 days >

Hi, does anybody know if the following behavior of julian() is intentional? > julian(2, 1, 2012) - julian(2 - 1e-15, 1, 2012) [1] 1 > julian(2, 1, 2012) - julian(2, 1 - 1e-15, 2012) [1] 0 > julian(2, 1, 2012) - julian(2, 1, 2012 - 1e-15) [1] 0 In other words, julian() is subject to numerical noise in the 'day' argument, but not in the 'month' and