How To Cite R Package?

If you want to cite just a package, just pass the package name as a parameter, e.g.: > citation (package = ‘cluster’) To cite the R package ‘cluster’ in publications use: Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K. (2013). cluster: Cluster Analysis Basics and Extensions. R package version 1.14.4.

Is there a way to cite R packages in BibTeX?

See also ## ‘citation (‘pkgname’)’ for citing R packages. BibTeX is just a format used by some reference managers. You can get the citation information for R packages like this:

How do you cite R packages in APA?

APA citation

The minimal requirement is to cite the R package in text along with the version number. Additionally, you can include the reference list entry the authors of the remote package have suggested. Analysis of the data was done using the remote package (v1. 2.1; Appelhans et al., 2015).

Do R packages need to be cited?

Ideally, you should indeed cite all the packages that you used. However, it’s not very diegetic. Therefore, I would recommand the following: Cite the main / important packages in the manuscript.

How do you cite a package in R markdown?

For the former type, the citation keys are of the form R-pkgname, where pkgname is the package name (e.g., R-knitr ). For the latter type, the keys are created by concatenating the package name and the publication year (e.g., knitr2015 ).

How do I cite R 2021 package?

To get the most up to date citation for R you can use the citation() function. citation() ## ## To cite R in publications use: ## ## R Core Team (2021). R: A language and environment for statistical ## computing. R Foundation for Statistical Computing, Vienna, Austria.

How do I cite RStudio 2021?

To cite RStudio in publications use: RStudio Team (2020). RStudio: Integrated Development for R.

How do you cite a car package?

To cite the car package in publications use: Fox J, Weisberg S (2019). An R Companion to Applied Regression, Third edition. Sage, Thousand Oaks CA.

How do you cite an R package in EndNote?

All we have to do is add a comma after R Development Core Team in the name field. This tells EndNote that R Core Development Team is a complete last name of an author that has no first name. Hence, EndNote uses what it has (a last name with no first name) in generating its citations.

Should I cite R or RStudio?

RStudio is only an IDE, and although it could be useful and you are free to cite it as having been helpful in your development, anyone can take your R code written with the help of RStudio and run it with only R and get the same result.

How do you reference in R markdown?

The usual way to include citations in an R Markdown document is to put references in a plain text file with the extension. bib, in BibTex format. Then reference the path to this file in index.

How do you cite a Bookdown?

Xie Y (2016). bookdown: Authoring Books and Technical Documents with R Markdown. Chapman and Hall/CRC, Boca Raton, Florida. ISBN 978-1138700109, https://bookdown.org/yihui/bookdown.

How do I create a .BIB file?

Making a new. bib file:

  1. Under the File menu, select New Bibliography.
  2. To add a new entry (book, article, etc), press the New icon (the giant green plus sign).
  3. The cite key field should fill in automatically once you have put an author and year.
  4. Once you are finished, go to the File menu and select Save As.

How do I cite R packages in github?

Cite the main/important packages in the manuscript

0 (R Core Team, 2021), the rstanarm (v2. 13.1; Gabry & Goodrich, 2016) and the report (v0. 2.0; Makowski, Patil, & Lüdecke, 2019) packages. The full reproducible code is available in Supplementary Materials.

How do I cite R in zotero?

Click the tools menu, addins, then, insert citations. This will open up a window showing all of the citations in your bib files. You can click multiple citations, and then insert the citation keys into your Rmarkdown document.

How do you cite R in mendeley?

You get (for example): To cite R in publications use: R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

How do I determine the author of an are package?

  • A header with the name of the package,the author,the version,the option to select older versions,the number of downloads,and a link to its RDocumentation page.
  • A description of the package.
  • The list of functions included in the package,where each of them is clickable so you can get more details about the use of the function.
  • How to refer to /data files in are package?

    R packages provide a standardized folder structure to organize your files; R packages provide functionality to document data and functions; R packages provide a framework to test your code; putting effort into points 1–3 enables you to reuse and share your code; In this article we will work out a data analysis example inside an R package step

    How can I manage are packages?

    – If Priority is ‘base’, then the package is already installed and loaded, so all of its functions are available upon opening R. – If Priority is ‘recommended’, then the package was installed with base R, but not loaded. – If Priority is NA, then the package was installed by the user, but not loaded.

    How do I install an your package from source?

    change directories to the parent directory of the source code for the R package you want to install. Start R by typing R at the command prompt. If you want to build an R package to distribute as a binary for other Windows users, use R CMD INSTALL.

    Citing R packages in your Thesis/Paper/Assignments

    If you need to cite R, there is a very important function in R called citation that you should know about ().citation (informal) () When citing R in a publication, the following format should be used: R Core Team (2013).R is a statistical computing language and environment that is free to use.Vienna, Austria is home to the R Foundation for Statistical Computing.URL If you are using LaTeX, you may create a BibTeX entry by using the following syntax: @Manual(title), author(s), organization(s), address(es), year(s), url(s), and citation(s).

    • We have put a great deal of time and effort into developing R; thus, when utilizing it for data analysis, please credit us.
    • Refer to ‘citation(″pkgname″)’ for information on referencing R packages.
    • If you just wish to mention a single package, you may simply supply the package name as a parameter, as in: > citation(package = ″cluster″).
    • Use the following citation to reference the R package ‘cluster’ in publications: Maechler, M.; Rousseeuw, P.; Struyf, A.; Hubert, M.; Hornik, K.
    • Maechler, M.; Rousseeuw, P.; Struyf, A.; Struyf, K.

    (2013).cluster: Cluster Analysis Fundamentals and Extensions (Cluster Analysis).The R package is currently at version [email protected] is a BibTeX entry for LaTeX users, with the following parameters: title=author=year=note= This will generate BibTeX entries for you, which you may copy and paste into your BibTeX reference as needed.

    If you’re working with Microsoft Word, best of luck to you.

    It’s easy to cite and reference R!

    (You may report a problem with the content on this page by clicking here.) You’d want to post your stuff on R-bloggers, right? If you have a blog, go to this page; if you don’t, go to this page.

    Remember to reference R

    When people are new to using R, and maybe to referring and report writing in general, they are frequently unaware of the proper way to cite and reference R and its packages in their work. For the same reasons that we cite anything else in any academic writing, we do this as well.

    1. We must back up our claims with evidence and provide readers with the chance to assess the veracity of that evidence before we can move on. Citing R and its packages helps others to assess the reproducibility of your study and findings
    2. we must acknowledge and give credit to the work of those who have done similar work. With many contributions, the R open source project is a collaborative effort, and mentioning R and its packages helps to fund the development of such excellent, free tools.

    R makes it simple to accomplish this!

    The citation() function

    • This method returns the reference for the R citation in a text file () When citing R in a publication, the following format should be used: R Core Team (2017).
    • R is a statistical computing language and environment that is free to use.
    • Vienna, Austria is home to the R Foundation for Statistical Computing.
    • URL If you are using LaTeX, you may create a BibTeX entry by using the following syntax: @Manual(title), author(s), organization(s), address(es), year(s), url(s), and citation(s).
    • We have put a great deal of time and effort into developing R; thus, when utilizing it for data analysis, please credit us.
    • Refer to ‘citation(″pkgname″)’ for information on referencing R packages.

    BibTeX is just a reference management format that is utilized by several reference managers.You may obtain citation information for R packages in the following ways: citation(″ggplot2″) The following format should be used to reference ggplot2: Elegant Graphics for Data Analysis: H.Wickham.

    1. ggplot2: Elegant Graphics for Data Analysis Springer-Verlag, New York, published in 2009.
    2. A BibTeX entry for LaTeX users is @Book, author =, title =, publisher =, year =, isbn =, url =, @Book, author =, title =, publisher =, year =, isbn =, url =, @Book You may include something like this in your Methods section: The analysis was carried out in R (R Core Team, 2014), and the figures were created with the help of the tool ggplot2 (Wickham, 2009).
    3. In most cases, it will include more specifics about the analysis itself.
    4. Here’s an illustration: We performed linear mixed (LME) analysis of cell function using R (R Core Team, 2017) in conjunction with lme4 (Bates et al., 2015)….
    5. …….
    1. The following authors should be included in your reference list: Bates, D., Maechler, M., Bolker, B., and Walker, S.
    2. (2015).
    3. Fitting Linear Mixed-Effects Models is a complex process.
    4. With the help of the lme4 package, Journal of Statistical Software, 67(1), 1–48.
    5. doi:10.18637/jss.v067.i01.
    1. R Core Team is a group of people who work together to achieve a common goal (2014).
    2. R is a statistical computing language and environment that is free to use.
    3. Vienna, Austria is home to the R Foundation for Statistical Computing.
    4. URL Wickham, H., et al (2009) ggplot2 is a tool for creating visually appealing data visualizations.
    5. Springer Publishing Company in New York.
    • P.S.
    • You do, in fact, receive this message every time you turn on R!
    • R is currently at version 3.4.2.

    (2017-09-28) – ″Short Summer″ is an abbreviation for ″Short Summer.″ Licensed under Creative Commons (C) 2017.The R Foundation for Statistical Computing Platform is comprised of the following components: x86 64-w64-mingw32/x64 x86 64-w64-mingw32 (64-bit) R is a free piece of software that comes with ABSOLUTELY NO WARRANTY whatsoever.You are free to redistribute it as long as you follow specific guidelines.For further information about distribution, use ‘license()’ or ‘licensing()’.R is a collaborative effort with a large number of participants.

    For further information, see the ‘contributors()’ function, and see the ‘citation()’ function for details on how to reference R or R packages in publications.If you want to see some demonstrations, use ‘demo()’, if you want on-line help, or if you want an HTML browser interface, type ‘help.start()’.To exit R, enter the command ‘q()’.

    How to Cite R and R Packages

    • Many scientists, both those who are new to science (i.e.
    • students) and those who are more seasoned scientists who are new to R, come to me for instruction.
    • In my experience, after all their troubles with dates and remembering where to place the comma, they are so relieved to finally have an analysis that they forget or aren’t aware of the next stages.
    • Many scientists are unaware that they should be mentioning R packages, much alone R itself, and, if they are aware, they are often unsure of how to do so.
    • So, here’s a little primer on why you should do it and how to get started!

    Why cite?

    It is critical to reference both R and R packages for a variety of reasons, including the following:

    • Credit to the developer Many of the creators of R packages for research are also scientists in their own right.
    • These individuals may be working on packages in their spare time or attempting to fit it into a hectic schedule.
    • The majority of scientists do not receive credit for their work if they do not include citations.
    • It becomes difficult to prioritize work on open source software projects as a result of this.
    • To guarantee that high-quality free software is maintained in the future, it is critical that the creators receive recognition for their efforts1.
    • Science that can be replicated In the event that it is not evident how you completed a task or where you obtained your data, your work is not repeatable.
    • The absence of citations of software in scientific papers has become such a concern that working groups, such as the FORCE11 Software Citation Implementation Working Group, have been established to set guidelines2 and standards3 for crediting software in scientific publications.
    • When writing a book, it is critical to include information on software (such as R), R packages, and the versions of those packages.
    • It not only assists other scientists in understanding and reproducing your work, but it also facilitates the sharing of vital and helpful technologies.
    • Include versions of your manuscript as a technique of keeping track of the context of your work when software changes is also quite significant.
    • Please keep in mind that repeatability is not the same as reproducibility.

    In order to ensure that your analysis is reproducible (as opposed to your study being repeated), you need investigate more stringent methods of keeping track of the software dependencies in your research project (see below, Reproducible science).

    • Gratitude Citing a developer’s work is also a means of expressing gratitude and appreciation for their (sometimes unpaid) efforts.
    • Knowing that every citation I receive for my weathercan package warms my heart (and adds to my CV) is a wonderful feeling.
    • My life has been much facilitated by the use of R packages, and it gives me great pleasure to know that I can at least publicly thank the developers’ efforts by include their names in my publications.
    See also:  How Do I Get My Full Zip Code?

    Which packages should I cite?

    • I am frequently asked the following question: ″Okay, I realize that I need to mention R packages, but should I cite them all?″ This is a difficult topic, and to be completely honest, I’m not sure what the ideal answer is, and it may rely on a variety of things in certain cases.
    • The usage of statistical tools, and any package that is particular to a scientific topic or approach, is something I always recommend to my students and colleagues (i.e.
    • if you used magick to process images before analysis, or if you used tidyhydat to retrieve hydrology data, definitely cite those packages).
    • Data munging packages, for example, or packages like osfr, which are used as part of the scientific process (e.g., connecting to OSF, or the Open Science Framework), but which are not necessarily used for analysis explicitly, provide a particular challenge.
    • Every piece of software we use should be referenced in an ideal world, but with word and reference restrictions in place, as well as editors who are less knowledgeable about the value of referencing software, it’s frequently difficult to justify citing everything in a document.
    • The FORCE11 Software Citation Implementation Working Group recommends that software that is critical to the study conclusion be included in the citations for the research.

    I would also point out that citing open-source software that was a significant part of your workflow is not always a bad thing (for the purposes of credit, if not repeatability).Try to make any other information conspicuously visible in your scripts, and if at all feasible, include your scripts as an addendum to the text.At the very least, any interested readers will be introduced to the packages in this manner.

    1. As an example, you could publish your OSF page/DOI and possibly add that it was handled using osfr for programs such as osfr.
    2. However, it is vital to emphasize that simply mentioning packages in extra materials is not adequate; however, if this is all that can be done, it is a positive outcome in an otherwise negative scenario.
    3. You’ve probably realized how important it is to cite packages and have had some time to think about the ones you want to use.
    4. The next step is to start collecting citations.
    5. It’s a good thing that there are standard ways of mentioning R packages, and the most of these are accessible immediately from your R console!

    How to cite R

    • Citing R is a rather basic process.
    • citation() When citing R in a publication, the following format should be used: R Core Team (2021).
    • R is a statistical computing language and environment that is free to use.
    • Vienna, Austria is home to the R Foundation for Statistical Computing.
    • URL If you are using LaTeX, you may create a BibTeX entry by using the following syntax: @Manual(title), author(s), organization(s), address(es), year(s), url(s), and citation(s).
    • We have put a great deal of time and effort into developing R; thus, when utilizing it for data analysis, please credit us.

    Refer to ‘citation(″pkgname″)’ for information on referencing R packages.The next thing you’ll need is the version of R, which can be found in version$version.string.″R version 4.1.2 (released on November 1, 2021)″ I normally recommend something along the lines of the following in the manuscript’s text.

    1. All analyses were carried out with the help of the R Statistical Software (v4.1.2; R Core Team 2021)

    How to cite R packages

    • R provides access to citation information for R packages as well as other functions.
    • There are some developers that have books or articles that they would want you to include as citations in your work.
    • citation(″weathercan″) LaZerte, Stefanie E., and Sam Albers’s ‘weathercan’ should be referenced as follows in publications: (2018).
    • Weathercan is a program that allows you to download and prepare weather data from the Canadian Environment and Climate Change Agency.
    • doi:10.21105/joss.00571.
    • The Journal of Open Source Software, volume three issue twenty-two, page 571.

    The following is an example of a BibTeX entry for LaTeX users: @Article; title =: ownload and format weather data from Environment and Climate Change Canada; author=; journal=; volume=; number=; pages=; year=; url=; Some require you to reference the software in its entirety.citation(″magick″) When citing package’magick’ in publications, use the following citation: Jeroen Ooms (2021).In R, the magick package provides advanced graphics and image processing capabilities.

    1. R package version 2.7.3 is available.
    2. @Manual is a BibTeX item for LaTeX users that contains the following information: title=author=year=note=url=, @Manual The packageVersion() method can be used to obtain information about a package’s version.
    3. package Version(″weathercan″) ‘0.6.2’ packageVersion(″magick″) ‘2.7.3’ packageVersion(″weathercan″) ‘0.6.2’ In the case of R packages, I normally advocate include language along the lines of this in a document.
    4. All analyses were carried out with the help of the R Statistical Software (v4.1.2; R Core Team 2021).
    5. Environmental and Climate Change Canada provided the temperature data, which was collected using the weathercan R tool (v0.6.2; LaZerte and Albers 2018).
    1. The magick R program was used to simplify and analyze the vegetation photographs before they were submitted for analysis (v2.7.3; Ooms 2021).

    Reproducible workflow for managing citations

    • You’ll find it much simpler to remember which packages you’ve used if you include keeping track of package versions and versions of packages into your daily routine.
    • Consider storing compiled reports of your analysis scripts (either by rendering your scripts using the RStudio’s Compile Report button,’spinning’ your scripts with rmarkdown and knitr4, or utilizing Rmd files and knitting them) to keep track of what you’ve learned.
    • The sessionInfo() or devtools:session info() functions can be called at the conclusion of your script in this manner.
    • devtools:session info() Information about the session ─────────────────────────────────────────────────────────────── version 4.1.2 (2021-11-01) operating system Ubuntu 20.04.3 LTS system x86 64, linux-gnu user interface X11 language English collate en CA.UTF-8 ctype English tz America/Winnipeg date en CA.UTF-8 tz America/Winnipeg 2021-11-09 Packages are a type of package.
    • ─────────────────────────────────────────────────────────────────── package * version number and date The lib source asserts that version 0.2.1 is in use.
    • CRAN (R 4.1.0) bslib 0.3.0 was released on March 21st, 2019.

    CRAN 2021-09-02CRAN 2021-09-02CRAN (R 4.1.1) cachem version 1.0.6 CRAN 2021-08-19 2021-08-19 (R 4.1.1) callr 3.7.0 is a program that allows you to call someone.CRAN (R 4.1.0) and cli 3.1.0 were released on April 20, 2021.CRAN (R 4.1.2) crayon 1.4.2 was released on October 27, 2021.

    1. CRAN (R 4.1.2) desc 1.4.0 on the 29th of October, 2021.
    2. CRAN (R 4.1.1) devtools 2.4.1 were released on September 28th, 2021.
    3. 2021-05-05 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.0) digest version 0.6.28 CRAN (R 4.1.1) ellipsis 0.3.2 on the 23rd of September, 2021.
    4. CRAN (R 4.1.0) emo 0.0.0.9000 on the 29th of April, 2021.
    5. 2021-06-04 Hadley (hadley/) evaluates 0.14 on Github.
    1. CRAN (R 4.1.0) fastmap 1.1.0 was released on May 28th, 2019.
    2. CRAN (R 4.1.0) fs 1.5.0 on the 25th of January, 2021.
    3. CRAN (R 4.1.0) generics 0.1.0 as of 2020-07-31 2020-10-31CRAN (R 4.1.0) glue 1.5.0 CRAN (R 4.1.0) glue 1.5.0 CRAN (R 4.1.2) htmltools 0.5.2 was released on November 7, 2021.
    4. CRAN (R 4.1.1) 2021-08-25 jquerylib 0.1.4 jquerylib 0.1.4 CRAN (R 4.1.0) jsonlite 1.7.2 (version 2021-04-26) CRAN (R 4.1.0) knitr 1.36 was released on December 9, 2020.
    5. CRAN (R 4.1.2) lifetime 1.0.1 was released on September 29, 2021.
    1. CRAN (R 4.1.1) lubridate 1.8.0 was released on September 24, 2021.
    2. CRAN (R 4.1.1) magrittr 2.0.1 was released on October 7, 2021.
    3. CRAN 2020-11-17 CRAN 2020-11-17 (R 4.1.0) memoise 2.0.0 is a version of the software memoise.
    4. CRAN (http://www.cran.org/) (R 4.1.0) pkgbuild 1.2.0 is a package builder.
    5. CRAN 2020-12-15 CRAN 2020-12-15 (R 4.1.0) pkgload 1.2.3 is a package loader.
    • 13th of October, 2021CRAN (R 4.1.1) prettyunits 1.1.1 is now available.
    • CRAN (R 4.1.0) processx 3.5.2 on the 24th of January, 2020.
    • CRAN 2021-04-30 2021-04-30 CRAN (R 4.1.0) ps 1.6.0 ps 1.6.0 ps 1.6.0 CRAN (2021-02-28CRAN) (R 4.1.0) purrr 0.3.4 is a purring cat.

    2020-04-17CRAN (R 4.1.0) R6 2.5.1 R6 2.5.1 R6 2.5.1 CRAN (R 4.1.1) remotes 2.4.0 on the 19th of August, 2021.CRAN (R 4.1.0) rlang 0.4.12 2021-06-02CRAN (R 4.1.0) CRAN (R 4.1.1) rmarkdown 2.11 on the 18th of October, 2021.CRAN (R 4.1.2) rprojroot 2.0.2 was released on September 14, 2021.The CRAN (R 4.1.0) package rstudioapi 0.13 was released on November 15, 2020.2020-11-12R 4.1.0 sass 0.4.0 CRAN (R 4.1.0) sass 0.4.0 CRAN 2021-05-12 2021-05-12 CRAN (R 4.1.0) sessioninfo 1.1.1 is a version of the sessioninfo program.

    CRAN (R 4.1.0) stringi 1.7.5 was released on November 5th, 2018.CRAN (R 4.1.1) stringr 1.4.0 on the 4th of October, 2021.CRAN (R 4.1.0) tested that 3.1.0 on February 10th.CRAN 2021-10-04CRAN CRAN (R 4.1.1) 2.1.3 Make advantage of this 2.1.3 CRAN (R 4.1.2) withr 2.4.2 was released on October 27, 2021.

    1. 18th of April in the year 2021CRAN (R 4.1.0) xfun 0.28 is a fun-loving program.
    2. CRAN 2021-11-04 2021-11-04 CRAN (R 4.1.2) yaml 2.2.1 is a programming language.
    3. 2020-02-01CRAN (R 4.1.0) /home/steffi/R/x86 64-pc-linux-gnu-library/4.1 /usr/local/lib/R/site-library /usr/lib/R/site-library /usr/lib/R/library /usr/lib/R/library /usr/lib/R/library /usr/lib/R/library /usr/lib/R/ A comprehensive record of all of your process, packages, outcomes, and package versions will be contained inside your assembled report.
    4. To make things more fancier, you may include particular print() instructions at the conclusion of your script that will output the citations themselves (though keep in mind that you’ll still need session info() for package versions).
    1. printing the citation(″weathercan″) with the style set to ″text″ S.
    2. LaZerte and S.
    3. Albers (2018).
    1. Environmental and Climate Change Canada’s ″weathercan″ (weather data download and formatting) was published in _The Journal of Open Source Software_, *3*(22), page 571.
    2. percent map(citation) percent percent percent percent percent percent style=″text″] print(style=″text″] S.
    3. LaZerte and S.

    Albers (2018).Environmental and Climate Change Canada’s ″weathercan″ (weather data download and formatting) was published in _The Journal of Open Source Software_, *3*(22), page 571.

    Reproducible science

    For the last step in making sure your work is not just repeatable but also reproducible5, you might want to look at R packages that help manage package versions (such as renv) or software that helps control your build environment (such as gcc) (like Docker containers).

    Doing more with citations

    • See the post A Roundup of R Tools for Handling BibTeX6 for more information on how to take things to the next level and start managing your citations in R.
    • Keep an eye out for a forthcoming blog post on the freshly evaluated cffr package, which will cover how to interact with the CFF citation file format for your package or in general.
    • Are you a package creator who would want to have your packages acknowledged more frequently in the community? For more information, see the post Make Your R Package Easier to Cite for some helpful hints.

    Final thoughts

    • Free and Open Source Software (FOSS) is a rare and wonderful phenomenon.
    • It eliminates the imbalance in financial resources between scientific organizations and enables for the creation of highly specialist analyses in extremely particular topics.
    • In addition to being vital for full and reproducible science, citing R and R packages is also extremely meaningful to software developers, as you can see in the following example.
    • If we want them to continue doing what they are doing, the very least we can do is encourage them!
    1. The following quote says it all: ″Every excellent open source math library is built on the ashes of someone’s academic career.″
    2. Checklist for Authors Using Software Citation
    3. ↩︎
    4. Smith AM, Katz DS, Niemeyer KE, FORCE11 Software Citation Working Group. 2016. FORCE11 Software Citation Working Group. Principles of citation in software. PeerJ Computer Science 2:e86 is a journal that publishes peer-reviewed articles in computer science. ↩︎
    5. This is my preferred way since it allows me to apply a custom rmarkdown:render() to ensure that the reports are dated and transferred to a results folder once they have been generated. As an illustration: rmarkdown:render Input = ″Scripts/02 analysis.R″, output = ″Results,″ output dir = ″Results,″ output file = paste0(″02 analysis_,″ Sys.Date(), ‘.html’)) Input = ″Scripts/02 analysis.R,″ Output = ″Results,″ Output = ″02 analysis_,″ Output = ″Results″ See also Dean Attali’s blog article on the issue for further information. ↩︎
    6. If an experiment is repeatable, it indicates that others can replicate it and obtain the same findings. When something is reproducible, it indicates that others can perform the same analysis exactly as you did. See↩︎
    7. Check out the associated Twitter thread, which contains even more useful resources!
    8. ↩︎

    How to Cite R and R Packages

    • Many scientists, both those who are new to science (i.e.
    • students) and those who are more seasoned scientists who are new to R, come to me for instruction.
    • In my experience, after all their troubles with dates and remembering where to place the comma, they are so relieved to finally have an analysis that they forget or aren’t aware of the next stages.
    • Many scientists are unaware that they should be mentioning R packages, much alone R itself, and, if they are aware, they are often unsure of how to do so.
    • So, here’s a little primer on why you should do it and how to get started!
    See also:  How To Address A Package In Care Of?

    Why cite?

    It is critical to reference both R and R packages for a variety of reasons, including the following:

    • Credit to the developer Many of the creators of R packages for research are also scientists in their own right.
    • These individuals may be working on packages in their spare time or attempting to fit it into a hectic schedule.
    • The majority of scientists do not receive credit for their work if they do not include citations.
    • It becomes difficult to prioritize work on open source software projects as a result of this.
    • To guarantee that high-quality free software is maintained in the future, it is critical that the creators receive recognition for their efforts1.
    • Science that can be replicated In the event that it is not evident how you completed a task or where you obtained your data, your work is not repeatable.
    • The absence of citations of software in scientific papers has become such a concern that working groups, such as the FORCE11 Software Citation Implementation Working Group, have been established to set guidelines2 and standards3 for crediting software in scientific publications.
    • When writing a book, it is critical to include information on software (such as R), R packages, and the versions of those packages.
    • It not only assists other scientists in understanding and reproducing your work, but it also facilitates the sharing of vital and helpful technologies.
    • Include versions of your manuscript as a technique of keeping track of the context of your work when software changes is also quite significant.
    • Please keep in mind that repeatability is not the same as reproducibility.

    In order to ensure that your analysis is reproducible (as opposed to your study being repeated), you need investigate more stringent methods of keeping track of the software dependencies in your research project (see below, Reproducible science).

    • Gratitude Citing a developer’s work is also a means of expressing gratitude and appreciation for their (sometimes unpaid) efforts.
    • Knowing that every citation I receive for my weathercan package warms my heart (and adds to my CV) is a comforting thought.
    • My life has been much facilitated by the use of R packages, and it gives me great pleasure to know that I can at least publicly thank the developers’ efforts by include their names in my publications.

    Which packages should I cite?

    • I am frequently asked the following question: ″Okay, I realize that I need to mention R packages, but should I cite them all?″ This is a difficult topic, and to be completely honest, I’m not sure what the ideal answer is, and it may rely on a variety of things in certain cases.
    • The usage of statistical tools, and any package that is particular to a scientific topic or approach, is something I always recommend to my students and colleagues (i.e.
    • if you used magick to process images before analysis, or if you used tidyhydat to retrieve hydrology data, definitely cite those packages).
    • Data munging packages, for example, or packages like osfr, which are used as part of the scientific process (e.g., connecting to OSF, or the Open Science Framework), but which are not necessarily used for analysis explicitly, provide a particular challenge.
    • Every piece of software we use should be referenced in an ideal world, but with word and reference restrictions in place, as well as editors who are less knowledgeable about the value of referencing software, it’s frequently difficult to justify citing everything in a document.
    • The FORCE11 Software Citation Implementation Working Group recommends that software that is critical to the study conclusion be included in the citations for the research.

    I would also point out that citing open-source software that was a significant part of your workflow is not always a bad thing (for the purposes of credit, if not repeatability).Try to make any other information conspicuously visible in your scripts, and if at all feasible, include your scripts as an addendum to the text.At the very least, any interested readers will be introduced to the packages in this manner.

    1. As an example, you could publish your OSF page/DOI and possibly add that it was handled using osfr for programs such as osfr.
    2. However, it is vital to emphasize that simply mentioning packages in extra materials is not adequate; however, if this is all that can be done, it is a positive outcome in an otherwise negative scenario.
    3. You’ve probably realized how important it is to cite packages and have had some time to think about the ones you want to use.
    4. The next step is to start collecting citations.
    5. It’s a good thing that there are standard ways of mentioning R packages, and the most of these are accessible immediately from your R console!

    How to cite R

    • Citing R is a rather basic process.
    • When citing R in a publication, the following format should be used: R Core Team (2021).
    • R is a statistical computing language and environment that is free to use.
    • Vienna, Austria is home to the R Foundation for Statistical Computing.
    • URL If you are using LaTeX, you may create a BibTeX entry by using the following syntax: @Manual(title), author(s), organization(s), address(es), year(s), url(s), and citation(s).
    • We have put a great deal of time and effort into developing R; thus, when utilizing it for data analysis, please credit us.

    Refer to ‘citation(″pkgname″)’ for information on referencing R packages.The version of R that you’ll need is the next thing you’ll need.″R version 4.1.2 (released on November 1, 2021)″ I normally recommend something along the lines of the following in the manuscript’s text.

    1. All analyses were carried out with the help of the R Statistical Software (v4.1.2; R Core Team 2021)

    How to cite R packages

    • R provides access to citation information for R packages as well as other functions.
    • There are some developers that have books or articles that they would want you to include as citations in your work.
    • LaZerte, Stefanie E., and Sam Albers’s ‘weathercan’ should be referenced as follows in publications: (2018).
    • Weathercan is a program that allows you to download and prepare weather data from the Canadian Environment and Climate Change Agency.
    • doi:10.21105/joss.00571.
    • The Journal of Open Source Software, volume three issue twenty-two, page 571.

    The following is an example of a BibTeX entry for LaTeX users: @Article; title =: ownload and format weather data from Environment and Climate Change Canada; author=; journal=; volume=; number=; pages=; year=; url=; Some require you to reference the software in its entirety.When citing package’magick’ in publications, use the following citation: Jeroen Ooms (2021).In R, the magick package provides advanced graphics and image processing capabilities.

    1. R package version 2.7.3 is available.
    2. @Manual is a BibTeX item for LaTeX users that contains the following information: title=author=year=note=url=, @Manual The packageVersion() method can be used to obtain information about a package’s version.
    3. packageVersion(″weathercan″) ‘0.6.2’ ‘2.7.3’ packageVersion(″weathercan″) ‘0.6.2’ ‘2.7.3’ In the case of R packages, I normally advocate include language along the lines of this in a document.
    4. All analyses were carried out with the help of the R Statistical Software (v4.1.2; R Core Team 2021).
    5. Environmental and Climate Change Canada provided the temperature data, which was collected using the weathercan R tool (v0.6.2; LaZerte and Albers 2018).
    1. The magick R program was used to simplify and analyze the vegetation photographs before they were submitted for analysis (v2.7.3; Ooms 2021).

    Reproducible workflow for managing citations

    • You’ll find it much simpler to remember which packages you’ve used if you include keeping track of package versions and versions of packages into your daily routine.
    • Consider storing compiled reports of your analysis scripts (either by rendering your scripts using the RStudio’s Compile Report button,’spinning’ your scripts with rmarkdown and knitr4, or utilizing Rmd files and knitting them) to keep track of what you’ve learned.
    • The sessionInfo() or devtools:session info() functions can be called at the conclusion of your script in this manner.
    • Information about the session ─────────────────────────────────────────────────────────────── settingvalue versionR version 4.1.2 settingvalue versionR version 4.1.2 (2021-11-01) TzUbuntu 20.04.3 LTS systemx86 64, linux-gnu uiX11 language english CA:en collateen CA.UTF-8 ctypeen CA.UTF-8 tzUbuntu 20.04.3 LTS tzUbuntu 20.04.3 LTS systemx86 64, linux-gnu uiX11 language America/Winnipeg date 2021-11-09 Packages are a type of package.
    • package* versiondatelib source assertthat0.2.1 assertthat0.2.1 assertthat0.2.1 assertthat0.2.1 2019-03-21 CRAN (R 4.1.0) bslib0.3.0 CRAN (R 4.1.0) CRAN 2021-09-02CRAN 2021-09-02CRAN (R 4.1.1) cachem1.0.6 2021-08-19 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.1) callr3.7.0 CRAN (R 4.1.0) cli3.1.02021-04-20CRAN (R 4.1.0) cli3.1.02021-10-27 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.2) crayon1.4.2 CRAN (R 4.1.2) desc1.4.0 on the 29th of October, 2021.
    • CRAN (R 4.1.1) devtools2.4.1 was released on September 28th, 2021.

    2021-05-05 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.0) digest0.6.28 2021-09-23 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.1) ellipsis0.3.2 the 29th of April in the year 2021CRAN (R 4.1.0) emo0.0.0.9000 2021-06-04 Hadley/evaluate0.14 is available on Github.CRAN (R 4.1.0) fastmap1.1.0 was released on May 28th, 2019.2021-01-25 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.0) fs1.5.0 The date is 2020-07-31CRAN (R 4.1.0) generics0.1.0 2020-10-31 glue1.5.0 CRAN (R 4.1.0) CRAN (R 4.1.0) 2021-11-07CRAN (R 4.1.2) htmltools0.5.2 CRAN (R 4.1.2) htmltools0.5.2 2021-08-25CRAN (R 4.1.1) jquerylib0.1.4 2021-08-25CRAN (R 4.1.1) CRAN (R 4.1.0) jsonlite1.7.2 2021-04-26CRAN (R 4.1.0) 2020-12-09CRAN (R 4.1.0) knitr1.36 knitr1.36 knitr1.36 knitr1.36 CRAN (R 4.1.2) lifecycle1.0.1 was created on September 29, 2021.

    1. 2021-09-24 CRAN (R 4.1.1) lubridate1.8.0 CRAN (R 4.1.1) lubridate1.8.0 CRAN (R 4.1.1) magrittr2.0.1 was released on October 7, 2021.
    2. CRAN 2020-11-17 CRAN 2020-11-17 (R 4.1.0) memoise2.0.0 CRAN (R 4.1.0) pkgbuild1.2.0 was released on January 26, 2021.
    3. CRAN 2020-12-15 CRAN 2020-12-15 (R 4.1.0) pkgload1.2.3 13th of October, 2021CRAN (R 4.1.1) prettyunits1.1.1 2020-01-24 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.0) processx3.5.2 CRAN (R 4.1.0) ps1.6.0 on the 30th of April, 2021.
    4. CRAN (2021-02-28CRAN) (R 4.1.0) purrr0.3.4 2020-04-17CRAN (R 4.1.0) R62.5.1 CRAN (R 4.1.0) R62.5.1 CRAN 2021-08-19 2021-08-19 (R 4.1.1) remotes2.4.0 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN 2021-06-02CRAN (R 4.1.0) rlang0.4.12 18th of October in the year 2021CRAN (R 4.1.1) rmarkdown2.11 2021-09-14CRAN (R 4.1.2) rprojroot2.0.2 2021-09-14CRAN (R 4.1.2) rprojroot2.0.2 2020-11-15CRAN (R 4.1.0) rstudioapi0.13 rstudioapi0.13 rstudioapi0.13 2020-11-12CRAN (R 4.1.0) sass0.4.0 2020-11-12CRAN (R 4.1.0) CRAN (R 4.1.0) sessioninfo1.1.1 on the 12th of May, 2021.
    5. On the 5th of November, CRAN (R 4.1.0) stringi1.7.5 was released.
    1. CRAN (R 4.1.1) stringr1.4.0 2021-10-04CRAN (R 4.1.1) stringr1.4.0 CRAN (R 4.1.0) testthat3.1.02021-10-04CRAN (R 4.1.0) 2019-02-10CRAN (R 4.1.0) testthat3.1.0 (R 4.1.1) usethis2.1.32021-10-27 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.2) withr2.4.22021-04-18CRAN withr2.4.22021-04-18CRAN withr2.4.22021-04-18CRAN (R 4.1.0) xfun0.282021-11-04 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.2) yaml2.2.12020-02-01 CRAN is an abbreviation for Comprehensive Research and Analysis of Networks (CRAN) (R 4.1.0) /home/steffi/R/x86 64-pc-linux-gnu-library/4.1 /usr/local/lib/R/site-library /usr/lib/R/site-library /usr/lib/R/library /usr/lib/R/library /usr/lib/R/site-library /usr/lib/R/library A comprehensive record of all of your process, packages, outcomes, and package versions will be contained inside your assembled report.
    2. To make things more fancier, you may include particular print() instructions at the conclusion of your script that will output the citations themselves (though keep in mind that you’ll still need session info() for package versions).
    3. printing the citation(″weathercan″) with the style set to ″text″ S.
    4. LaZerte and S.
    5. Albers (2018).
    1. Environmental and Climate Change Canada’s ″weathercan″ (weather data download and formatting) was published in _The Journal of Open Source Software_, *3*(22), page 571.
    2. percent map(citation) percent percent percent percent percent percent style=″text″] print(style=″text″] S.
    3. LaZerte and S.
    4. Albers (2018).
    5. Environmental and Climate Change Canada’s ″weathercan″ (weather data download and formatting) was published in _The Journal of Open Source Software_, *3*(22), page 571.

    Reproducible science

    For the last step in making sure your work is not just repeatable but also reproducible5, you might want to look at R packages that help manage package versions (such as renv) or software that helps control your build environment (such as gcc) (like Docker containers).

    Doing more with citations

    • See the post A Roundup of R Tools for Handling BibTeX6 for more information on how to take things to the next level and start managing your citations in R.
    • Keep an eye out for a forthcoming blog post on the freshly evaluated cffr package, which will cover how to interact with the CFF citation file format for your package or in general.
    • Are you a package creator who would want to have your packages acknowledged more frequently in the community? For more information, see the post Make Your R Package Easier to Cite for some helpful hints.

    Final thoughts

    • Free and Open Source Software (FOSS) is a rare and wonderful phenomenon.
    • It eliminates the imbalance in financial resources between scientific organizations and enables for the creation of highly specialist analyses in extremely particular topics.
    • In addition to being vital for full and reproducible science, citing R and R packages is also extremely meaningful to software developers, as you can see in the following example.
    • If we want them to continue doing what they are doing, the very least we can do is encourage them!
    1. ″Every excellent open source mathematics library is constructed on the ashes of someone’s academic career,″ says the author. -↩︎
    2. Checklist for Authors Using Software Citation
    3. ↩︎
    4. Smith AM, Katz DS, Niemeyer KE, FORCE11 Software Citation Working Group. 2016. FORCE11 Software Citation Working Group. Principles of citation in software. PeerJ Computer Science 2:e86 is a journal that publishes peer-reviewed articles in computer science. ↩︎
    5. This is my preferred way since it allows me to apply a custom rmarkdown:render() to ensure that the reports are dated and transferred to a results folder once they have been generated. As an illustration: rmarkdown:render Input = ″Scripts/02 analysis.R″, output = ″Results,″ output dir = ″Results,″ output file = paste0(″02 analysis_,″ Sys.Date(), ‘.html’)) Input = ″Scripts/02 analysis.R,″ Output = ″Results,″ Output = ″02 analysis_,″ Output = ″Results″ See also Dean Attali’s blog article on the issue for further information. ↩︎
    6. If an experiment is repeatable, it indicates that others can replicate it and obtain the same findings. When something is reproducible, it indicates that others can perform the same analysis exactly as you did. See↩︎
    7. Check out the associated Twitter thread, which contains even more useful resources!
    8. ↩︎
    See also:  How To Package Rice Krispie Treats?

    How to Cite Packages

    • (You may report a problem with the content on this page by clicking here.) You’d want to post your stuff on R-bloggers, right? If you have a blog, go to this page
    • if you don’t, go to this page. What sources should I use?
    • What format should I use to reference it?
    • Blog articles from the past
    • Citing the statistical packages, modules, and softwares that you used for your analysis is important, both from a reproducibility standpoint (statistical routines are frequently implemented in different ways by different packages, which could explain slight discrepancies in the results) and from a citation standpoint. In addition to protecting yourself by being clear about what you have discovered while doing what you have done), saying ″I did this using this function from that package version 1.2.3″ is a way of acknowledging the work and time that people have put into creating tools for others (as well as their own) (sometimes at the expense of their own research). That’s fantastic, but how do you really reference them?
    • Should I list all of the packages I used, or just the ones I used the most?

    In an ideal situation, you should include all of the packages that you utilized. However, it isn’t very diegetic. Therefore, the following is what I would recommend:

    1. Cite the main / important packages in the manuscript
    • The programs that were crucial to your specific study (i.e., the ones that provided you with the results that you published) should be included in this list, rather than data manipulation tools (even though these are as much important).
    • As an illustration: The statistical analyses were carried out using R 3.5.0 (R Core Team, 2018), the rstanarm (v2.13.1; Gabry & Goodrich, 2016) and the psycho (v0.3.4; Makowski, 2018) packages, and the rstanarm package was used to generate the results.
    • Supplementary Materials provide the complete, reproducible code for this project.
    1. Present everything in Supplementary Materials
    • Afterwards, in the Supplementary Materials section, you list the packages and functions that you employed. Furthermore, the sessionInfo() function in R allows you to include (often at the conclusion of a script) every package and its version that has been used. It might be difficult to locate the correct citation information at some times. In R, this process is made very simple
    • you simply execute the citation function (″packagename″). For example, consider the expression citation(″dplyr″): In publications, Hadley Wickham, Romain François, Lionel Henry, and Kirill Müller should be cited as the authors of dplyr (2018). dplyr is a data manipulation grammar written in Python. The R package is currently at version 0.7.6. @Manual is a BibTeX item for LaTeX users that contains the following information: title=author=year=note=url=, @Manual Other programming languages, such as Python or Julia, may be a bit more difficult to learn, but a short search on Google (or GitHub) should give you with all of the knowledge you need to get started (version, authors, date). It’s preferable to have a somewhat incomplete citation than to have no citation at all, in most cases. There will be no more ANOVA reporting mistakes
    • Participants-wise Standardization vs Variable-wise Standardization
    • Formatted Correlation with Effect Size
    • Creating a Reference Grid from your data for the purpose of visualizing Machine Learning Models
    • Copying and pasting t-tests directly into manuscripts
    • Simple APA-formatted Bayesian Correlation
    • Fancy Plot (with Posterior Samples) for Bayesian Regressions
    • Easy APA-formatted Bayesian Correlation
    • In factor analysis, how many factors should be retained
    • beautiful and powerful correlation tables
    • formatting and interpreting Linear Mixed Models
    • and more.
    • How to do ANOVAs using Repeated Measures
    • Standardize (Z-score) a dataframe
    • Compute Signal Detection Theory Indices
    • Install R, R Studio, and psycho
    • Compute Signal Detection Theory Indices

    R Citation – How to Cite R for Projects

    • It is proper etiquette to list the tools and resources that you have used for a project. We’re going to teach you how to cite R using a simple technique that is already included in the original R distribution. This is beneficial to the R community on a number of ways. From the perspective of academic integrity, it acknowledges the contribution of others to the success of your research
    • it increases the overall credibility and perceived quality of your work by disclosing the key dependencies of your research
    • and it increases the overall credibility and perceived quality of your work by disclosing the key dependencies of your research. In the unlikely event that a problem is discovered with one of the packages, it provides other scholars with the ability to identify problems in derivative works
    • it supports the developers and contributors to the community by recognizing the impact of their efforts
    • and it provides other scholars with the ability to identify problems in derivative works.
    • You may obtain relevant information on how to cite R by making use of the citation function provided by the base R package.
    • Running it on R as a basis resulted in…
    • citation example in R > citation example in R () When citing R in a publication, the following format should be used: R Core Team (2018).
    • R is a statistical computing language and environment that is free to use.
    • Vienna, Austria is home to the R Foundation for Statistical Computing.
    • URL If you are using LaTeX, you may create a BibTeX entry by using the following syntax: @Manual(title), author(s), organization(s), address(es), year(s), url(s), and citation(s).

    We have put a great deal of time and effort into developing R; thus, when utilizing it for data analysis, please credit us.Refer to ‘citation(″pkgname″)’ for information on referencing R packages.It may also be used to run a specific software on a computer.

    1. In this example, I’ll show you how to find the citation information for the Rcurl package’s documentation.
    2. Example of a R citation – particular package > citation (″curl″) When citing the package ‘curl’ in publications, use the following format: Jeroen Ooms (2019).
    3. curl is a web-based R client that is both modern and flexible.
    4. Version 3.3 of the R package.
    5. @Manual is a BibTeX item for LaTeX users that contains the following information: title=author=year=note=url=, @Manual Here’s another example, this time for the quantmod software package.
    1. Example of a R citation – particular package > citation (″quantmod″) Use the following citations to reference the package ‘quantmod’ in publications: Jeffrey A.
    2. Ryan and Joshua M.
    3. Ulrich (2018).
    4. Quantmod is an abbreviation for Quantitative Financial Modeling Framework.
    5. R package version 0.4-13 is available.
    1. @Manual is a BibTeX item for LaTeX users that contains the following information: title=author=year=note=url=, @Manual

    Description

    This function generates a character string that may be used to reference R and R-packages.

    Usage

    Cite r(file = NULL, prefix = ″R-″, footnote = FALSE, pkgs = NULL, withhold = TRUE) Cite r(file = NULL, prefix = ″R-″, footnote = FALSE

    Arguments

    • FileCharacter.
    • The location and filename of the.bib-file that contains the references are specified.
    • If the value is NULL, just R is referenced.
    • prefixCharacter.
    • R-package reference handles are prefixed with the prefix ″R″.
    • footnoteLogical.

    If packages should be referenced in a footnote, this field indicates that they should.If there is no information on the package, it is ignored.pkgsCharacter.

    1. Depending on the withhold setting, a vector of package names will be cited or withheld.
    2. withholdLogical.
    3. If pkgs is TRUE, it creates a list of packages that should not be cited (a blacklist).
    4. If pkgs returns FALSE, a list of packages to cite is generated (a whitelist).

    Value

    Footnote = FALSE returns a character string; otherwise, a named list containing the entries r and pkgs will be returned.

    Details

    • If footnote is set to FALSE, a character string containing references to R and R-packages, as well as their version numbers, is returned.
    • It is otherwise returned a named list having the items r and packages in it.
    • It contains a character string referencing R and a reference to an accompanying footnote; it also contains a character string for the footnote citing R-packages; and it contains a reference to R-packages.
    • In order for the footnote string to appear correctly, it must be included within a distinct paragraph in the Markdown page.

    See Also

    r_refs, write_bib

    Examples

    Cite r() will not be executed. DataCamp Workspace allows you to run the code seen above in your browser.

    R package citation: remote

    Remote is a popular R package that is accessible at the GitHub repository. You are setting the stage for others to be able to replicate your study by including R packages in your publication, and you are also acknowledging the time and effort that went into developing the package.

    APA citation

    • The paper is formatted in accordance with the 7th version of the American Psychological Association Publication Manual.
    • Simply copy and paste it into the references page in its current form.
    • APA Providing only the package name and version number in text is the very minimum required for the R package.
    • Additionally, you can incorporate the reference list entry that was proposed by the authors of the remote package in your reference list.
    • An illustration of an in-text citation Analysis of the data was carried out through the use of a remote package (v1.2.1; Appelhans et al., 2015).
    • Inclusion in the reference list Appelhans, T., Detsch, F., and Nauss, T.

    Appelhans, T., and Detsch, F.(2015).Empirical Orthogonal Teleconnections in R is a remote programming language.

    1. A review article published in the Journal of Statistical Software (Vol.
    2. 65, Issue 10, pages 1–19).
    3. citation
    • The document has been formatted in accordance with Vancouver style.
    • Simply copy and paste it into the references area exactly as it is.
    • Vancouver An illustration of an in-text citation The data was analyzed using the remote package v1.2.1 (which can be downloaded here) (1).
    • entry1 in the reference list The remote: Empirical Orthogonal Teleconnections in R, by T.
    • Appelhans, F.
    • Detsch, and T.

    Nauss.Journal of Statistical Software, volume 65, pages 1–19, 2015.Appelhans, T., Detsch, F., & Nauss, T.

    1. remote: Empirical Orthogonal Teleconnections in R.
    2. Vol.
    3. 65, Journal of Statistical Software, 2015.
    4. In BibTeX format, this entry is available from: entry.
    5. Simply copy and paste it into your preferred citation manager.
    1. [email protected] In the journal Journal of Statistical Software, the title is ″: Empirical Orthogonal Teleconnections in ″, the author is ″Appelhans, Tim and Detsch, Florian and Nauss, Thomas″, the journal is ″Journal of Statistical Software″, the volume is 65, the number is 10, the pages are ″1-19″, the year is 2015, and the url is ″Appelhans2015-ar″

    RIS

    • Reference entries in the RIS format is provided.
    • Simply copy and paste it into your preferred citation manager.
    • RISTY- MISC AU- Appelhans, Tim AU- Detsch, Florian AU- Nauss, Thomas TI- remote: Empirical Orthogonal Teleconnections in R T2- Journal of Statistical Software T2- Journal of Statistical Software T2- Journal of Statistical Software VL- 65 IS- 10 SP- 1-19 PY- 2015 DA- 2015 UR-ER- VL- 65 IS- 10 SP- 1-19 PY- 2015 DA- 2015 UR-ER- VL- 65 IS- 10 SP- 1-19 PY- 2015 DA- 2015

    Other citation styles (ACS, ACM, IEEE,.)

    It is possible to use over 8,000 different types of citation styles on BibGuru. These include common styles such as AMA, ACN ACS CSE Chicago IEEE Harvard and Turabian. It also includes journal and university specific citation styles. Give it a go right now: Start quoting right away!

    4.6 Generate R package citations

    • To reference a R package, you can make use of the citation() method from the base R library.
    • If you want to generate a citation entry for BibTeX, you can pass the returned object of citation() to toBibtex(), for example, toBibtex(citation(″xaringan″)) @Manual, title =, author =, year =, note =, url =, @Manual, title =, author =, year =, @Manual, title =, author =, year =, @Manual, title =, author =, year =, @Manual, title To make use of the citation entries provided by toBibtex(), you must first transfer the output to a.bib file and then modify the citation keys (for example, change @Manual, to @ManualR-xaringan,).
    • Using the knitr:write bib() method, you may automate the process of adding citation entries to a file and adding the appropriate keys, for example, knitr:write bib() (c(.packages(), ″bookdown″), ″packages.bib″) The first input should be a character vector containing the names of the packages, and the second argument should be the path of the corresponding.bib file.
    • In the above example, the function.packages() returns the names of all of the packages that have been loaded into the current R session.
    • This ensures that the citation entries for all of the packages being used are written to the.bib file in the correct order.
    • When any of these packages are modified (e.g., when the author, title, year, or version of a package is changed), write bib() may be used to automatically update the.bib file in the package’s directory.

    There are two different sorts of citation entries that can be made.Two types of files are created: one is generated from the package’s DESCRIPTION file, and another is generated from the package’s CITATION file, if one has been given.The citation keys for the former kind are of the form R-pkgname, where pkgname is the name of the package being cit

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