yihui / yihui.org Goto Github PK
View Code? Open in Web Editor NEWPersonal website and discussion board of Yihui Xie | 谢益辉
Home Page: https://yihui.org
License: MIT License
Personal website and discussion board of Yihui Xie | 谢益辉
Home Page: https://yihui.org
License: MIT License
12/01
08/12
10/05
Time: Nov 3, 9-12am
Venue: https://chrischizinski.github.io/SNR_R_Group/
If you have any specific questions or problems that you want me to address in the class, please reply to this issue below.
I will use R and a few R packages. RStudio is optional but I'll use it. I'll also mention what you could do if you do not prefer using RStudio.
The latest version of R (3.4.2) is recommended but not required. Just do not use a version of R that is too old (e.g. two years older than the latest).
Install these R packages:
install.packages(c('bookdown', 'blogdown', 'xaringan', 'devtools'))
devtools::install_github(c('rstudio/bookdown', 'yihui/xaringan')
There may be a few more packages that I will demo briefly, and you do not have to preinstall them.
RStudio (>=1.1.383): https://www.rstudio.com/products/rstudio/download/ (again, the very latest version is recommended but not required)
LaTeX (if you need PDF output from R Markdown): https://www.latex-project.org/get/
(Optional) Git. https://git-scm.com/downloads You can use RStudio as the Git GUI, so no need to install a separate GUI unless you have your own favorite GUI.
bookdown + blogdown: http://bit.ly/unl-rmarkdown (not finalized yet; please do not print)
xaringan: http://bit.ly/xaringan
12/03
hi, yihui. I am a reader of your blog.
I find your blog starts from your fourth year of undergraduate education. Do you have ever considered put your diaries before that time in your blog? I have tried to do so recently and find some parts are very tedious because old articles are in microsoft word format. The older are scanned version of notebooks. You can check my github pages if you want and any comments on this issue is welcome.
clone这个仓库和主题,hugo之后无法生成脚注。依然保持^[]的样子。
This is an R Markdown tutorial to be given at the Melbourne Data Science Week.
In this tutorial, we will use R and a few R packages. RStudio is optional but I'll use it. I'll also mention what you could do if you do not prefer using RStudio.
The latest version of R (3.4.0) is recommended but not required. Just do not use a version of R that is too old (e.g. two years older than the latest).
Install these R packages:
install.packages(c('rmarkdown', 'bookdown', 'tufte', 'rticles', 'xaringan', 'devtools'))
devtools::install_github(c('rstudio/blogdown'))
There may be a few more packages that I will demo briefly, and you do not have to preinstall them.
RStudio: https://www.rstudio.com (again, the very latest version is recommended but not required)
(Optional) Git. I don't have a recommendation on how to install it, but perhaps the easiest way is https://desktop.github.com if you use Github.
I'll post links here before the tutorial starts (the files will be small enough, so you should not worry about downloading issues). Please come back to this page before the tutorial (perhaps in the evening of May 29).
Slides: https://slides.yihui.name/2017-DSM-rmarkdown-Yihui-Xie.html
An R Markdown document example:
An R Markdown presentation example: http://slides.yihui.name/rmd-pres.Rmd
A bookdown demo: https://github.com/rstudio/bookdown-demo
Please feel free to add your comments here to let me know more about you, such as the level of your R skills (so that I won't bore or scare you to death), what you expect me to teach, and what major problems you have got in your daily work (happy or unhappy with R Markdown?). The more prior information I know about the audience, the more effective the tutorial will be. I'll try to adjust the content according to your feedback in advance. If you don't want to post the information in the public, please also feel free to email me in private. Thanks!
Please note that your WiFi connection may take 10 minutes for KPMG to approve after you send the application, so please do this as soon as you arrive at the meeting room.
Thank You,also.
Hello,
Can you tell me if you have a RSS feed for your blog? So that I could get notification via @IFTTT.
So that navigation is a lot easier !
https://yihui.org/tinytex/faq/
03/04
03/16
11/01
Manually creating this issue for Utterances comments at https://yihui.org/cn/kids/.
06/05
04/02
That would be a lot easier to point user to a specific point to the FAQ !
Currently there is no id so it can't even be linked.
10/01
https://github.com/rbind/yihui/blob/703d24b0ce678150a67749ed417dcef532f1b304/static/js/load-typekit.js#L1
https://github.com/rbind/yihui/blob/703d24b0ce678150a67749ed417dcef532f1b304/static/js/load-typekit.js#L16
这一行和后面的代码风格不一致哇。😧
https://github.com/rbind/yihui/blob/703d24b0ce678150a67749ed417dcef532f1b304/static/js/load-typekit.js#L3
Yihui:
I fork your website for my use. But found the mathjax inline equation didn't work (block equation works fine). Any idea?
07/02 - 05
02/01 - 04
Manually creating this issue for Utterances comments at https://yihui.org/tinytex/
knitr::imgur_upload()
\proglang{}
at all05/01
hi,
益辉, 现在有没有简单的插件可以记录博客文章的阅读次数?另外,https://github.com/overtrue/share.js 似乎作为博客推送的分享插件是一个不错的选择
08/14
I'm trying to access the documentation for TinyTeX, but the site keeps redirecting between yihui.org/tinytex/ & tinytex.yihui.org.
Thanks for the great packge!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.