I'm currently preparing a manuscript where the respective information
(in LaTeX) reads:
...
All further data processing was done in the statistical environment
R\cite{R}, using the package
ggplot2\cite{ggplot2} for graphical display.
\paragraph{Pre-processing.~}
The spectra were imported into the spectra handling package
hyperSpec\cite{hyperSpec} using
R.matlab\cite{R.matlab}. The spectral ranges below 755\rcm and between
1850 and 2500\rcm were
discarded. Co-additions were multiplicatively signal corrected (package
pls\cite{Mevik2007}) and
...
We chemists are usually giving very detailed descriptions, much more
detailed than it is e.g. customary in many fields of physics. If this
detailed citation scheme is uncommon in your field, it should be
possible to include a summary sentence like
All data processing was done in the statistical environment R\cite{R},
using the packages
\cite{long, list, of, all, used, packages}.
I have a bunch of automatic citation and .bib file generation functions,
which you can find towards the end of my helper file for package
vignettes
(http://r-forge.r-project.org/scm/viewvc.php/Vignettes/vignettes.defs?view=markup&root=hyperspec).
They are particularly useful for Sweave documents (for usage examples,
see e.g. the end of the vignette .Rnws in Vignettes/plotting/ and
Vignettes/laser/).
HTH
Claudia
There are quite a lot of papers citing statistical software used in
their analyses,
e.g., see:
http://scholar.google.com/scholar?q=%22analyses+were+conducted+using+R%22+OR+%22analyses+were+conducted+using+SPSS%22
I think it is possible and reasonable to include the visualization
tool, so how about like this:
"The statistical analyses and visualization were conducted using R
2.12.1 [1] and ggplot2 8.9.0 [2]."
please fix my poor English ;-)
Why I think visualization tool can be included in the citation along
with the analyses software:
IMHO, visualization is getting more and more important in scientific
investigation.
Large and/or complicated data cannot be understood without
visualization from diverse aspects.
So, in a sense, visualization may be more than just plotting after
analyses, and be a part of analyses that enables to deeply inspect
data.
ggplot2 kindly helps me to work with the routine of inspecting data.
This is why I like and need ggplot2.
However, please note that I'm not sure that everyone, including
editors and reviewers, will agree to citing visualization tools.
HTH,
kohske
--
Kohske Takahashi <takahash...@gmail.com>
Research Center for Advanced Science and Technology,
The University of Tokyo, Japan.
http://www.fennel.rcast.u-tokyo.ac.jp/profilee_ktakahashi.html
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Your rationale has helped me better appreciate the role of
visualization as a method of scientific inquiry. In this light, I
think that it is totally reasonable and defensible to add 'and
visualization with ggplot2' in the statistical methods section.
Thank you for your insight,
David
--
David LeBauer, PhD
Energy Biosciences Institute
University of Illinois Urbana-Champaign
1206 W. Gregory Drive
Urbana, IL 61801, U.S.A.
| David LeBauer <dleb...@gmail.com>
Sent by: ggp...@googlegroups.com 01/07/2011 02:23 PM |
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