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On Cache Invalidation Why is it hard? Yihui Xie 2018-06-22 Many people must have heard this quote (by Phil Karlton) many times: There are only two hard things in Computer Science: cache invalidation and naming thing. Two days ago, Nick Tierney mentioned it again in his post “Naming Things”. Since he said he was not sure what cache invalidation meant, and I have a tiny bit experience here, I want t
The First Notebook War So Joel Grus doesn’t like Jupyter notebooks. Here are some of my thoughts on notebooks, IDE, and R Markdown. Yihui Xie 2018-09-10 Last week I learned about an interesting JupyterCon talk given by Joel Grus titled “I Don’t Like Notebooks”. I’d applaud the open-mindedness of the conference committee to invite Joel to give such a talk to (presumably so many) notebook lovers. I
TinyTeX A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live TinyTeX is a custom LaTeX distribution based on TeX Live that is small in size, but functions well in most cases, especially for R users. If you run into the problem of missing LaTeX packages, it should be super clear to you what you need to do (in fact, R users won’t need to do anything). Yo
1. Installation You can install formatR from CRAN, or yihui.r-universe.dev if you want to test the latest development version: install.packages("formatR", repos = "http://cran.rstudio.com") # or development version options(repos = c(yihui = "https://yihui.r-universe.dev", CRAN = "https://cloud.r-project.org")) install.packages("formatR") Or check out the Github repository and install from source i
Write An R Package Using Literate Programming Techniques Yihui Xie 2014-12-29 This is an example of writing an R package using the Literate Programming (LP) technique, implemented through the knitr package and Makefile. It only shows you the idea, and I do not mean you must use knitr, R Markdown, or Makefile. The full source code of this rlp package is available on Github. To build this package, y
The Graphics Manual The graphics manual shows all cool bells and whistles about graphics in knitr. Source and output of the graphics manual Rnw source: knitr-graphics.Rnw LyX source: knitr-graphics.lyx PDF output: knitr-graphics.pdf You will probably realize how much room there is for improvement of R graphics in publications. Don’t accept whatever R gives you; it is time starting making your grap
The knitr package provides a lot of chunk options for customizing nearly all components of code chunks, such as the source code, text output, plots, and the language of the chunk. It also offers some options at the package level to customize the knitting process. This page documents all chunk options and package options available in knitr. The default values of these options are in parentheses in
knitr Elegant, flexible, and fast dynamic report generation with R Overview Inspired by Sweave, the knitr package was designed to be a transparent engine for dynamic report generation with R, and combine features in other add-on packages into one package (knitr ≈ Sweave + cacheSweave + pgfSweave + weaver + animation::saveLatex() + R2HTML::RweaveHTML() + highlight::HighlightWeaveLatex() + 0.2 * bre
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