ramnathv/wrap_chunk.Rmd Secret

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<title>knitr Chunk Hook to Wrap</title>

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<h2>knitr Chunk Hook to Wrap</h2>

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" title="plot of chunk unnamed-chunk-1" alt="plot of chunk unnamed-chunk-1"  /></div>

</body>

</html>

## wrap_chunk.md

      
    Raw
  

              wrap_chunk.md
            
          
    knitr Chunk Hook to Wrap


## wrap_chunk.Rmd
## knitr Chunk Hook to Wrap

```{r setup, echo = F}
knit_hooks$set(wrap = function(before, options, envir){
  if (before){
    paste0('<', options$wrap, '>')
  } else {
    paste0('</', options$wrap, '>')
  }
})
```


```{r comment = NA, echo = F, wrap = 'div', out.extra=""}
plot(mtcars$mpg, mtcars$wt)
```
	## knitr Chunk Hook to Wrap

	```{r setup, echo = F}
	knit_hooks$set(wrap = function(before, options, envir){
	if (before){
	paste0('<', options$wrap, '>')
	} else {
	paste0('</', options$wrap, '>')
	}
	})
	```


	```{r comment = NA, echo = F, wrap = 'div', out.extra=""}
	plot(mtcars$mpg, mtcars$wt)
	```