2017-06-22 20:38:24
Markdown is a text-to-HTML conversion tool for web writers. Markdown allows you to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML).
– John Gruber
其实markdown也是一种markup(标记)语言
<h1>Title 1</h1> <p>Bla <b>bla</b> bla.</p> <hr> <ul> <li>Item 1</li> <li>Item 2</li> </ul> <img src="image.png"></img>
# Title 1 Bla **bla** bla. * * * - Item 1 - Item 2 ![](image.png)
# Header 1 Header 1 ========== ## Header 2 Header 2 ----------- ### Header 3 #### Header 4 ##### Header 5 ###### Header 6
* Item 1 * Item 2 + Item 2a + Item 2b - Item 2b1 - Item 2b2
1. Item 1 1. Item 2 1. Item 3 1. Item 4 + Item 4a + Item 4b
*italic* _italic_*_
**bold** __bold__
bold
bold
Roses are red, Violets are blue.
Roses are red,
Violets are blue.
Roses are red, Violets are blue.
Roses are red, Violets are blue.
三个或以上星号/短横杠
--- ***
<http://www.google.com> [Google](http://www.google.com)
![Fig: logo](A05_04_markdown_files/logo.png)
A friend once said: > ###### Rule No.1 > - It's always better to give > than to receive. > - Refer to the above.
A friend once said:
Rule No.1
- It's always better to give than to receive.
- Refer to the above.
There were `r nrow(cars)` cars studied
There were 50 cars studied
Let's use dataset `cars`.
Let's use dataset cars
.
```{r} summary(cars$dist) ```
Min. 1st Qu. Median Mean 3rd Qu. Max. 2.00 26.00 36.00 42.98 56.00 120.00
``` summary(cars$speed) ```
First Header | Second Header ------------- | ------------- Content Cell | Content Cell Content Cell | Content Cell Content Cell | Content Cell
First Header | Second Header |
---|---|
Content Cell | Content Cell |
Content Cell | Content Cell |
Content Cell | Content Cell |
| First Header | Second Header | |:-------------+--------------:| | Content `Cell` | Content *Cell* | | Content Cell | [Content](google.com) Cell | | Content Cell | Content **Cell** |
First Header | Second Header |
---|---|
Content Cell |
Content Cell |
Content Cell | Content Cell |
Content Cell | Content Cell |
$\LaTeX$ grammar for $\delta=(\alpha+\beta)/\gamma$
\(\LaTeX\) grammar for \(\delta=(\alpha+\beta)/\gamma\)
Bayes Equation: $$P(B|A)=\frac{P(A|B)P(B)}{P(A)}$$
Bayes Equation: \[P(B|A)=\frac{P(A|B)P(B)}{P(A)}\]
I spend so much time reading [R bloggers][1] and [Simply Statistics][2]! [1]: http://www.r-bloggers.com/ "R bloggers" [2]: http://simplystatistics.org/ "Simply Statistics"
I spend so much time reading R bloggers and Simply Statistics!
I spend so much time reading R bloggers[^rb] [^rb]: R-bloggers "R-bloggers is a sets of blogs for R users."
I spend so much time reading R bloggers1
Go back to [Page 5](#5).
Go back to Page 5.
<p id="anchor-1">bla bla</p> Go to [anchor1](#anchor-1)
bla bla
Go to anchor1
superscript^2^
superscript2
subscript~2~
subscript2
~~strikethrough~~
strikethrough
rticles
包,基于内置模板生成报告
```{r}
或 ```{python}
…起始r, engine=python
的例子x="Hello, python world!" print(x.split(' '))
## ['Hello,', 'python', 'world!']
bibliography: example.bib csl: the-lancet.csl
@<文献id>
引用某条文献,或
[@<文献1id>;@<文献2id>]
引用文献
--- references: - id: fenner2012a title: One-click science marketing author: - family: Fenner given: Martin container-title: Nature Materials volume: 11 URL: 'http://dx.doi.org/10.1038/nmat3283' DOI: 10.1038/nmat3283 issue: 4 publisher: Nature Publishing Group page: 261-263 type: article-journal issued: year: 2012 month: 3 ---
params
params$<对象>
引用这些参数--- title: Sample output: html_document params: data: "iris" --- ```{r} summary(params$data) ```
.Rmd文档 –[knit]–> .md文档 –[Pandoc]–> 最终文档
Knit
按钮
render
函数render(input, output_format = NULL, output_file = NULL, output_dir = NULL, output_options = NULL, intermediates_dir = NULL, knit_root_dir = NULL, runtime = c("auto", "static", "shiny", "shiny_prerendered"), clean = TRUE, params = NULL, knit_meta = NULL, envir = parent.frame(), run_pandoc = TRUE, quiet = FALSE, encoding = getOption("encoding"))
Thank you!
1 Williams TA, Lenders JWM, Mulatero P et al. Outcomes after adrenalectomy for unilateral primary aldosteronism: An international consensus on outcome measures and analysis of remission rates in an international cohort. Lancet Diabetes Endocrinol 2017; published online May. DOI:10.1016/S2213-8587(17)30135-3.
2 Fenner M. One-click science marketing. Nature Materials 2012; 11: 261–3.