https://github.com/brentthorne/posterdown
https://github.com/rstudio/pagedown
https://github.com/GerkeLab/betterposter
library(glue)
a="你好嗎?"
b="我很好。"
glue(a)+b
library(glue)
a="你好嗎?"
b="我很好。"
glue(a)+b
library(glue)
a="你好嗎?"
b="我很好。"
glue(a)+b
x <- letters
(numbers <- runif(8))## [1] 0.5311923 0.2495347 0.5706632 0.4733050 0.1199680 0.2994991 0.9016199
## [8] 0.2551610
| ```{r ref.label="code1"} | |
| ``` |
x <- letters
(numbers <- runif(8))## [1] 0.5595675 0.2635422 0.2650163 0.4265003 0.9763240 0.5208946 0.4382886
## [8] 0.1088837
| This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) | |
| using [knitr](http://yihui.name/knitr/) in Rstudio 0.96. | |
| This combination of tools provides an exciting improvement in usability for | |
| [reproducible analysis](http://stats.stackexchange.com/a/15006/183). | |
| Specifically, this post | |
| (1) discusses getting started with R Markdown and `knitr` in Rstudio 0.96; | |
| (2) provides a basic example of producing console output and plots using R Markdown; | |
| (3) highlights several code chunk options such as caching and controlling how input and output is displayed; | |
| (4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and | |
| (5) discusses the implications of R Markdown. |