Posted by: mistan
I have been using the builtin Mode for a few months until I found out that Auctex is the ultimate Editor for Latex. I do not even know why people will use other Editor such as Lyx.
Emacs provides special major modes for editing files written in TeX and its related formats. TeX mode ...
Posted by: mistan
It turned to be not so trivial to setup Chinese for Latex in a Linux System. Hope this will help some souls.
Install Tex Live manually with tlmgr functioning.
Step-by-step installation instruction for Arch Linux is here.
Set variable for Tex Live installation directory,
Download the Linux version of gdrive from GitHub.
Posted by: mistan
Mendeley => Helm-bibtex => Org-ref
Pdf-tools and org-noter are used for note-taking.
Reference Manager Mendeley is used to:
to rename files
generate bibtex file
PDF-tools to render and annotate pdf, and generate notes in individual org files. see here for more info.
Org-ref to take care of the citation duty.
Notes: org-ref ...
Posted by: mistan
R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. – rmarkdown official site
R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more. – rmarkdown official ...
Posted by: mistan
ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. – http://ggplot2.org/
Posted by: mistan
Shiny is –
A web application framework for R Turn your analyses into interactive web applications No HTML, CSS, or JavaScript knowledge required.
Best place to learn is the tutorial from official site.
Inspired and adapted from here. dplyer tutorial here, or its own documentation. Another tutorial for dplyr and tidyr; The cheatsheet is useful too, install the dataset from the page’s footnote devtools::install_github("rstudio/EDAWR").