(0 p) Set up your bibliography manager.
(0 p) Login to Google Scholar via the UNM library proxy from http://libproxy.unm.edu/login?url=http://scholar.google.com
(3 p) Find three references that relate to your dataset and variables, copy BibTeX reference into your bibliography manager.
(2 p) Add your bibliography .bib file to the YAML (top of Rmd file).
(3 p) Write a couple short sentences that cite the reference keys following the example below.
(2 p) Ensure that the references automatically appear at the bottom of the document.
(0 p) Remove anything in this document that does not pertain to your references.
The only references from your S4R_Stat_145.bib
file that will appear at the end of a document are those that have been cited in the text. You can use nocite
to get a full bibliography but we will not discuss that further here. When you create your *.Rmd
file, you will need to add the line bibliography: S4R_Stat_145.bib
to the YAML metadata section. If you have more than one *.bib
file, place each file indented on a separate line, preceeded with a dash, and make sure to leave a space after the dash.
bibliography:
- First.bib
- Second.bib
- Third.bib
To create an S4R_Stat_145.bib
by creating an automatic syncing .bib file,
S4R_Stat_145.bib
file will always be up to date with your Mendeley library.To create an S4R_Stat_145.bib
,
S4R_Stat_145.bib
in the Save As: box.I will use (Beckschäfer et al. 2014; Richert 2013; Murphy 2012; Dean and ebrary, Inc 2014) for this work which was obtained using [@beck2014; @rich2013; @murp2012; @dean2014]
. Plus, Beckschäfer et al. (2014) says some interesting stuff and that citation was obtained using @beck2014
. For more documentation on bibliographies and citations with R Markdown, see http://rmarkdown.rstudio.com/authoring_bibliographies_and_citations.html. For general help with R Markdown, see https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf.
Beckschäfer, P, L Fehrmann, Rd Harrison, J Xu, and C Kleinn. 2014. “Mapping Leaf Area Index in Subtropical Upland Ecosystems Using RapidEye Imagery and the randomForest Algorithm.” iForest - Biogeosciences and Forestry 7 (1): 1–11. doi:10.3832/ifor0968-006.
Dean, Jared, and ebrary, Inc. 2014. Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners. Wiley & SAS Business Series. Hoboken, NJ: Wiley.
Murphy, Kevin P. 2012. Machine Learning a Probabilistic Perspective. Adaptive Computation and Machine Learning Series. Cambridge, Mass: MIT Press.
Richert, Willi. 2013. Building Machine Learning Systems with Python. Birmingham, UK: Packt Publishing.