Re: How to have correct citation of gnumeric
- From: ken <gebser mousecar com>
- To: gnumeric-list gnome org
- Subject: Re: How to have correct citation of gnumeric
- Date: Fri, 29 Jan 2016 05:59:24 -0500
On 01/28/2016 11:33 AM, Gabriela Hoff wrote:
Dear Sir or Madam
I am using R statisitcal tookit and Gnumeric to perform statistical
analysis to a paper and I would like to have the correct citation to
gnumeric in this paper.
I am using the statistical package of the last gnumeric version available.
To R I was able to retrieve the infomration:
"[31] R Core Team. R: A language and environment for statistical
computing. R Foundation for Statistical Computing, Vienna, Austria. URL
http://www.R-project.org/. (2014)."
I tried to find information in the webpage but I didn't succeed.
Would you, please, send me the directions to find the correct citation?
Thank you in advance,
--
Gabriela Hoff
Dra. Biociência Nucleares - Física Médica
Fone: 51 83333588
Gabriela,
I don't understand what sort of citation you're seeking or what that
citation is meant to verify or support. Perhaps you could explain this
more...?
In the off-chance it might be helpful, here's the entry for R-core
included in the RPM package:
-------------------------------------------------------
$ rpm -qi R-core
Name : R-core Relocations: (not relocatable)
Version : 3.2.3 Vendor: Fedora Project
Release : 1.el5 Build Date: Fri 11 Dec 2015
09:19:43 PM EST
Install Date: Wed 06 Jan 2016 09:37:28 AM EST Build Host:
buildvm-03.phx2.fedoraproject.org
Group : Applications/Engineering Source RPM:
R-3.2.3-1.el5.src.rpm
Size : 84421779 License: GPLv2+
Signature : DSA/SHA1, Tue 15 Dec 2015 04:30:09 AM EST, Key ID
119cc036217521f6
Packager : Fedora Project
URL : http://www.r-project.org
Summary : The minimal R components necessary for a functional runtime
Description :
A language and environment for statistical computing and graphics.
R is similar to the award-winning S system, which was developed at
Bell Laboratories by John Chambers et al. It provides a wide
variety of statistical and graphical techniques (linear and
nonlinear modelling, statistical tests, time series analysis,
classification, clustering, ...).
R is designed as a true computer language with control-flow
constructions for iteration and alternation, and it allows users to
add additional functionality by defining new functions. For
computationally intensive tasks, C, C++ and Fortran code can be linked
and called at run time.
-------------------------------------------------------
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