1-Package introduction
Daniel Quiroz and Jessica Cooperstone
Horticulture and Crop Science Department, Ohio State Universityquirozmoreno.1@osu.edu
23 October 2024
Source:vignettes/APhenolicsDB_intro.Rmd
APhenolicsDB_intro.Rmd
Basics
Install PhenolicsDB
R
is an open-source statistical environment which can be
easily modified to enhance its functionality via packages. PhenolicsDB
is a R
package available via the Bioconductor repository for packages.
R
can be installed on any operating system from CRAN after which you can install
PhenolicsDB
by using the following commands in your R
session:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("PhenolicsDB")
## Check that you have a valid Bioconductor installation
BiocManager::valid()
Required knowledge
PhenolicsDB
is a data package that contains MS/MS data
of authentic analytical standads. Therefore, in order to be familiar
with what data you will find in this package, you will need to be
familiar with mass spectrometry.
If you are asking yourself the question “Where do I start using Bioconductor?” you might be interested in this blog post.
Asking for help
As package developers, we try to explain clearly how to use our
packages and in which order to use the functions. But R
and
Bioconductor
have a steep learning curve so it is critical
to learn where to ask for help. The blog post quoted above mentions some
but we would like to highlight the Bioconductor support site
as the main resource for getting help: remember to use the
PhenolicsDB
tag and check the older
posts. Other alternatives are available such as creating GitHub
issues and tweeting. However, please note that if you want to receive
help you should adhere to the posting
guidelines. It is particularly critical that you provide a small
reproducible example and your session information so package developers
can track down the source of the error.
Citing PhenolicsDB
We hope that PhenolicsDB
will be useful for your
research. Please use the following information to cite the package and
the overall approach. Thank you!
## Citation info
citation("PhenolicsDB")
#> To cite PhenolicsDB in publications use:
#>
#> Quiroz-Moreno C, Cooperstone J (2023). _PhenolicsDB: phenolics MS/MS
#> (LC-ESI-QTOF) database repository_. doi:10.5281/zenodo.8475
#> <https://doi.org/10.5281/zenodo.8475>,
#> <https://cooperstonelab.github.io/PhenolicsDB/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {PhenolicsDB: phenolics MS/MS (LC-ESI-QTOF) database repository},
#> author = {Cristian Quiroz-Moreno and Jessica Cooperstone},
#> year = {2023},
#> doi = {10.5281/zenodo.8475},
#> url = {https://cooperstonelab.github.io/PhenolicsDB/},
#> }
Reproducibility
The PhenolicsDB package (Quiroz-Moreno and Cooperstone, 2023) was made possible thanks to:
- R (R Core Team, 2024)
- BiocStyle (Oleś, 2024)
- knitr (Xie, 2024)
- RefManageR (McLean, 2017)
- rmarkdown (Allaire, Xie, Dervieux, McPherson, Luraschi, Ushey, Atkins, Wickham, Cheng, Chang, and Iannone, 2024)
- sessioninfo (Wickham, Chang, Flight, Müller, and Hester, 2021)
- testthat (Wickham, 2011)
This package was developed using biocthis.
Code for creating the vignette
## Create the vignette
library("rmarkdown")
system.time(render("PhenolicsDB_intro.Rmd", "BiocStyle::html_document"))
## Extract the R code
library("knitr")
knit("PhenolicsDB_intro.Rmd", tangle = TRUE)
Date the vignette was generated.
#> [1] "2024-10-23 18:06:57 UTC"
Wallclock time spent generating the vignette.
#> Time difference of 0.969 secs
R
session information.
#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.4.1 (2024-06-14)
#> os Ubuntu 22.04.5 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language en
#> collate C.UTF-8
#> ctype C.UTF-8
#> tz UTC
#> date 2024-10-23
#> pandoc 3.1.11 @ /opt/hostedtoolcache/pandoc/3.1.11/x64/ (via rmarkdown)
#>
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#> ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Bibliography
This vignette was generated using BiocStyle (Oleś, 2024) with knitr (Xie, 2024) and rmarkdown (Allaire, Xie, Dervieux et al., 2024) running behind the scenes.
Citations made with RefManageR (McLean, 2017).
[1] J. Allaire, Y. Xie, C. Dervieux, et al. rmarkdown: Dynamic Documents for R. R package version 2.28. 2024. URL: https://github.com/rstudio/rmarkdown.
[2] M. W. McLean. “RefManageR: Import and Manage BibTeX and BibLaTeX References in R”. In: The Journal of Open Source Software (2017). DOI: 10.21105/joss.00338.
[3] A. Oleś. BiocStyle: Standard styles for vignettes and other Bioconductor documents. R package version 2.32.1. 2024. DOI: 10.18129/B9.bioc.BiocStyle. URL: https://bioconductor.org/packages/BiocStyle.
[4] C. Quiroz-Moreno and J. Cooperstone. PhenolicsDB: phenolics MS/MS (LC-ESI-QTOF) database repository. 2023. DOI: 10.5281/zenodo.8475. URL: https://cooperstonelab.github.io/PhenolicsDB/.
[5] R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria, 2024. URL: https://www.R-project.org/.
[6] H. Wickham. “testthat: Get Started with Testing”. In: The R Journal 3 (2011), pp. 5–10. URL: https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.
[7] H. Wickham, W. Chang, R. Flight, et al. sessioninfo: R Session Information. R package version 1.2.2, https://r-lib.github.io/sessioninfo/. 2021. URL: https://github.com/r-lib/sessioninfo#readme.
[8] Y. Xie. knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48. 2024. URL: https://yihui.org/knitr/.