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Producing publication-ready documents in R Markdown
February 27 @ 5:30 pm - 7:30 pm UTC+0
Welcome back everyone to another year of exciting R-Ladies events!
For our first event of 2019 two of our organisers, Anna and Soroor, will be giving a workshop on Producing Publication-Ready Documents in R Markdown!
R Markdown with its simple syntax can be easily turned into a powerful tool to combine R analysis with formatted text, to produce publication-quality documents such as books, journal papers, homework reports, and theses. Come and join us in this meet up to find out more.
We will cover
– Formatting section headings, chapters, table of content, font size, line space and margins
– Referencing tables, figures, chapters, equations
– Citation styles, managing Bibliography records with bibTex
– Mathematical equations with Latex
– Inserting images, figures, and tables
Please bring your laptop laptop so you can try to write your own sample paper and get help if you get stuck!!
This event will be hosted by our wonderful sponsor Nous. Pizza and drinks will be provided for the evening.
Can’t wait to see you all there!
A little bit about Anna and Soroor:
Soroor is a Research Assistant in Davis laboratory in the Bioinformatics Division at the Walter and Eliza Hall Institute of Medical Research. She joined Davis laboratory in 2014 as a UROP student, and was promoted to a Research Assistant in 2016. She is currently doing a part-time masters degree in Statistics at the University of Melbourne.
Anna graduated in Statistics between the Universities of Bologna, Glasgow and Melbourne where she did her Master thesis in the Bioinformatics Division with Prof. Melanie Bahlo working on the genetic determinants of MacTel, a degenerative eye disease. She then worked as RA between the Bahlo’s and Speed’s lab working on MacTel and stem cells epigenetics. She is currently in her last year of PhD in Speed’s lab and her research was aimed at improving understanding of relapse in Leukemia patients by applying statistics and genomics to gene expression and mutation data detected in RNA-Sequencing.