I would like to set the "pander" function as an alternative "print" function for when compiling knitr rmarkdown documents. Like this (Example of code to run in R):
require(pander)
print <- function(...) pander(..., style = "rmarkdown") # makes sure that everyhing that everyprint will pass through pander
summary(cars)
This will result in:
> summary(cars)
----------------------------------
speed dist
------ ------------ --------------
**** Min. : 4.0 Min. : 2.00
**** 1st Qu.:12.0 1st Qu.: 26.00
**** Median :15.0 Median : 36.00
**** Mean :15.4 Mean : 42.98
**** 3rd Qu.:19.0 3rd Qu.: 56.00
**** Max. :25.0 Max. :120.00
----------------------------------
This way, I will get all of the tables well formatted, instead of manually needing to write "pander" all across the document (imagine I had to write "summary(car) 20 times in the document, changing "print" will save me writing pander(summary(car)) ).
Is that possible? (or is there a smarter way I'm unaware of?)
Thanks.
Update: example for an .rmd file:
TEST
====
```{r}
require(pander)
print <- function(...) pander(..., style = "rmarkdown") # makes sure that everyhing that everyprint will pass through pander
summary(cars)
```
```{r, eval=FALSE}
library(knitr)
knit2html("test.rmd") # http://stackoverflow.com/questions/10646665/how-to-convert-r-markdown-to-html-i-e-what-does-knit-html-do-in-rstudio-0-9
# http://quantifyingmemory.blogspot.co.il/2013/02/reproducible-research-with-r-knitr.html
```
While the output test.md is:
TEST
====
```r
require(pander)
print <- function(...) pander(..., style = "rmarkdown") # makes sure that everyhing that everyprint will pass through pander
summary(cars)
```
```
## speed dist
## Min. : 4.0 Min. : 2
## 1st Qu.:12.0 1st Qu.: 26
## Median :15.0 Median : 36
## Mean :15.4 Mean : 43
## 3rd Qu.:19.0 3rd Qu.: 56
## Max. :25.0 Max. :120
```
```r
library(knitr)
knit2html("test.rmd") # http://stackoverflow.com/questions/10646665/how-to-convert-r-markdown-to-html-i-e-what-does-knit-html-do-in-rstudio-0-9
#
# http://quantifyingmemory.blogspot.co.il/2013/02/reproducible-research-with-r-knitr.html
```
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