Re: How to have correct citation of gnumeric



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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