[R] Outputting a difftime object in PASTE or AS.CHARACTER is missing the unit + expand the format options?

Hello, I was working on an R script using the datediff object, to log certain durations in the data processing. I ran in to the issue that outputing a datediff object using PASTE will leave out the time unit by default. When you paste() or as.character() a datediff object it only outputs the n

Re: [R] png-generation from script (non-X11 env) now broken?

Hi, You can try to use cairo instead of png. IT doesn’t require X. try putting this line in a Rprofile file : options(bitmapType="cairo") Massimo. On Feb 25, 2014, at 1:36 PM, David Wolfskill wrote: > Since ... hmmm.. May 2012, I've had a cron-initiated script running > monthly to

Re: [R] help understanding hierarchical clustering

vid L Carlson > Associate Professor of Anthropology > Texas A&M University > College Station, TX 77840-4352 > > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of epi > Sent: Tuesday, April 30, 2013 8:06 PM

Re: [R] help understanding hierarchical clustering

[1] http://nbviewer.ipython.org/5497996 > > - > David L Carlson > Associate Professor of Anthropology > Texas A&M University > College Station, TX 77840-4352 > > -Original Message- > From: r-help-boun...@r-project.or

[R] help understanding hierarchical clustering

Hi All, i've problem to understand how to work with R to generate a hierarchical clustering my data are in a csv and looks like : idcode,count,temp,sal,depth_m,subs 16001,136,4.308,32.828,63.46,47 16001,109,4.31,32.829,63.09,49 16001,107,4.302,32.822,62.54,47 16001,87,4.318,32.834,62.54,48 16002

[R] install error - Netcdf library (linux)

Hi All, i'm on a debian linux 64bit, i'm tying to install the netcdf intraface, i tried both ncdf and ncdf4 but trying to build i received the error : (i have necdf installed on my machine and it is able to fiund it .. no missed .h) epy@epinux:~$ sudo R CMD INSTALL --configure-args="-with-ne

[R] deduplication

Colleagues, I am trying to de-duplicate a large (long) database (approx 1mil records) of diagnostic tests. Individuals in the database can have up-to 25 observations, but most will have only one. IDs for de-duplication (names, sex, lab number...) are patchy. In a first step, I am using Andreas B