NURS 3335 Module 5 Assignment Journal

NURS 3335 Module 5 Assignment Journal
NURS 3335 Module 5 Assignment Journal
Your Journal project is due now.
During the last four weeks of this course, you have completed at least four diary entries per week.
Your Journal must be submitted by the deadline and time.
It is the official journal of the R Project for Statistical Computing, and it is peer-reviewed.
It contains papers ranging in length from short to medium and covering a wide range of issues relevant to R users and developers.
Module 5 Assignment Journal for NURS 3335
Having a large readership and a comprehensive review procedure are the goals of the R Journal.
Short, concise, and not very technical papers are expected to be presented during the conference.
Refereed article authors should take care to: • place their contribution in perspective, particularly discussing related R functions or packages; • explain the purpose for their contribution; • offer code examples that are repeatable.
• Reviews and proposals: evaluating and discussing challenges and opportunities of potential importance for the broader R community, including proposals and proof-of-concept implementations, following change of the content definition of The R Journal in January 2017.
• Comparing and benchmarking implementations in base-R and contributed packages with each other and with implementations in other software systems.
NURS 3335 Module 5 Assignment Journal
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New or established techniques can be implemented in an area of current interest using R, providing a fresh perspective on such analyses in R that is beneficial beyond the individual application.
• Add-on packages: short introductions to donated R packages that are already accessible on CRAN or Bioconductor, but with the goal of providing a deeper context and attracting a readership that goes beyond the typical package user.
A motivating letter accompanying a submission is required for authors to make a convincing case for such introductions, such as the introduction of innovative R implementations or new data structures that represent general designs that can be re-used.
In the life sciences, authors of package-introduction papers may want to look into the F1000 Bioconductor (https://f1000research. com/channels/bioconductor) or Rpackage ( channels.
An additional component of the R Journal is titled News and Notes, and it contains information on the most recent additions to R’s feature set.
Add-on packages, manuals, binary packages, and so on have been added to the CRAN repository.
Bioconductor project news:’s most recent advancements.
Recent developments in the R Foundation, include contributions and the addition of new members.
upcoming R-related conferences and reports from previous R-related conferences are listed here.
It is the goal of this paper to explain the submission process for The R Journal to all aspiring authors.
Assembling an application
The journal’s production software is rather unforgiving. Failure to adhere to the instructions here may result in a delay to the reviewing, and possible publication, of your
The following files provide a template for preparing an article for submission to The R Journal:
LATEX style file: ‘RJournal.sty’.
Master LATEX file: ‘RJwrapper.tex’. This includes the file ‘RJtemplate.tex’, which is not itself a complete
LATEX document (it has no begin{document} or end{document}).
Article template: ‘RJtemplate.tex’.
Bibliography template: ‘RJreferences.bib’.
The steps involved in preparing an article for submission to The R Journal are as follows:
• Download ‘’ which contains the latest versions of ‘RJwrapper.tex’, ‘RJtemplate.tex’,
‘RJournal.sty’ and other useful files.
• Rename ‘RJtemplate.tex’ to a unique file name (‘filename.tex’, e.g. ‘smith-jones.tex’), for example
using the authors’ last or family names in lower case separated by hyphens, or the corresponding
author’s last or family name. Replace its contents with the contents of your article.
• Create a minimal ‘filename.bib’ BibTeX file with only the entries you need, without unnecessary
fields such as abstracts, and add bibliography{filename} at the end of ‘filename.tex’, where
filename is the same file name created above.
• Modify ‘RJwrapper.tex’ to include ‘filename.tex’ rather than ‘RJtemplate.tex’. Include any strictly
essential LATEX usepackage commands in the modified ‘RJwrapper.tex’.
• Run tools::texi2pdf on ‘RJwrapper.tex’ to produce ‘RJwrapper.pdf’, using clean=FALSE to help
in debugging if necessary.
• Iterate until ‘RJwrapper.pdf’ looks right.
• Then submit the following files to the Editor-in-Chief:
– If the submission is of the “add-on packages” type, a motivating letter (PDF or plain text,
please) explaining how you meet our requirements described above (2.1).
– The modified ‘RJwrapper.tex’
– ‘RJwrapper.pdf’
– ‘filename.tex’
– ‘filename.bib’
– all necessary figure files (only PDF or PNG files are accepted)
– an R script (‘filename.R’ using the same file name as that created above) permitting the
reproduction of examples in your submission and small data files — use built-in data sets
where sensible, see below.
– Do not include ‘RJournal.sty’ or style files for other latex packages needed by your article.
– You should have only one ‘.bib’ file, and only two ‘.tex’ files, one of which is ‘RJwrapper.tex’.
Article length: The R Journal has no page limit. However, there is a tendency for longer papers to be
subject to longer reviewing time, and excessive length may reduce your article’s readership, should it
be published. If possible, try to limit your article’s length to, say, 8-10 pages, excluding figures and
Reproducible research
The results presented in figures and tables should be reproducible: either the R code to generate the
result should be included in a code listing in the article, or a separate script file that generates the
results should be submitted with the article. Articles that include extensive code listings should also
provide a script file to help reviewers step through the code without retyping it.
Note that reproducibility requires that the author provide any datasets used in the examples. If
this would be infeasible, due to data privacy or data volume considerations, please do not use such
datasets as examples.
Articles in The R Journal are written in English. We accept consistent British and American spelling
along with other national variations. We encourage authors for whom English is not their first
language to have their papers edited by a competent copy-editor. We encourage all authors to conform
to accepted norms of grammar and style, and to avoid sexist language, such as the use of ‘he’ for
individuals of indefinite gender.
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