So clearly, this was a bloody mess and is frankly, a bit embarrassing although not all of it was my fault.
#LYX TUTORIALS MANUALS#
Further, many of the webpages are either 1) very simple introductions on one aspect, 2) written by computer folks who are really good at this stuff, or 3) long manuals where it’s easy to miss the forest for the trees.īut after many years of dabbling, I think I’ve got it all figured out! In this blog, I want to introduce you to all these tools and show how they will make your everyday scientific life easier, more efficient, and more reproducible which is after all, one of the cornerstones of Science! So first, let’s talk about workflows in Science
#LYX TUTORIALS HOW TO#
But there are other tools out there that can produce publication quality output and they all play nicely with R - plus they are free! The problem is that these tools, widely used in the fields of computer science, math and engineering, are a bit of an ‘alphabets soup’ (LaTeX, LyX, etc.) and to my knowledge, there is no one place that explains the advantages of these over more ‘traditional’ tools or shows you how to make them all work together and with R (my apologies if I’m wrong here). Because while Markdown is super easy to learn, the trade-off is that it is not meant to have fine control over typesetting. I generally do my data analysis in Markdown and it would be ideal for class assignments, simple reports, presenting results to supervisors or colleagues, i.e. any piece of work where you need to write and analyze data but don’t need publication quality output. While I’m still a Markdown rookie, I think it’s great. RStudio makes this especially easy and it’s a great way to handle your analysis and writing, i.e. the workflow. Therefore, you also know about making reproducible reports and presentations in R. At this point, I’m assuming that you’ve read Chris’s excellent overview of Markdown (documents and presentations), know something about Yihui Xie’s great package ‘knitr’ and how to incorporate ‘chunks’ into a document. I would once again like to thank Chris for allowing me the opportunity to guest blog and who has provided many invaluable suggestions to improve content and readability. R, LaTeX/LyX, and your scientific workflow Guest Post by Keith Lewis
0 kommentar(er)
