Thell 'Bo' Fowler Thell

## RcppExposedClass
// [[Rcpp::plugins("cpp11")]]

#include <ostream>
#include <iterator>
#include <RcppCommon.h>

class BadIter;
RCPP_EXPOSED_CLASS(BadIter)

#include <Rcpp.h>

## RCPP_EXPOSED_CLASS
// [[Rcpp::plugins("cpp11")]]

#include <RcppCommon.h>

class preVector;
RCPP_EXPOSED_CLASS(preVector)

class postVector;
RCPP_EXPOSED_CLASS(postVector)

## SO11533438
_Why_ it is so slow? A little research located a mail group posting from a year ago this month where @hadley, the package author, [states][2]

> This is a drawback of the way that ddply always works with data
frames.  It will be a bit faster if you use summarise instead of
data.frame (because data.frame is very slow), but I'm still thinking
about how to overcome this fundamental limitation of the ddply
approach.

---

## rcpp_issue.cpp
/***
 *
 * Scenario:
 *
 *  You desire to use RCPP_EXPOSE_CLASS on a class and it needs to store
 *  a pointer to somewhere in a constructor initialized container either
 *  using the default initializer list or from within the constructor.
 *
 * Problem:
 *

## gist:9605892
clang++ -I/usr/share/R/include -DNDEBUG -I../inst/include/  -I"/home/thell/R/x86_64-pc-linux-gnu-library/3.0/Rcpp/include"   -fpic  -Wall -O3 -c RcppExports.cpp -o RcppExports.o
14
** libs
15
clang++ -I/usr/share/R/include -DNDEBUG -I../inst/include/  -I"/home/thell/R/x86_64-pc-linux-gnu-library/3.0/Rcpp/include"   -fpic  -Wall -O3 -c RcppMultiPrecision.cpp -o RcppMultiPrecision.o
16
clang++ -shared -o RcppMultiPrecision.so RcppExports.o RcppMultiPrecision.o -lmpfr -lgmp -L/usr/lib/R/lib -lR

## PandocMathTest.Rmd
---
title: "Pandoc MathTest"
author: "Thell"
date: "04/09/2014"
output:
  html_document: default
  pdf_document:
    pandoc_args: --tex-escape-outer-math
---

## SO-Meta-Q.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                Thell
                / SO-Meta-Q.md
            
            
              Last active
              August 29, 2015 14:00
            
              
                Community Imposed Answer Acceptance
              
          
    Community Imposed Answer Acceptance

(For Abandoned Questions)
The Unanswered questions listings are a great place to find questions with some meat on their bones that take some time, thought, research and self-learning to answer, but the quantity of questions that build up which actually do have an answer makes finding those fun gems not so fun to find.
Sure, we have advanced search syntax, data.stackexchange queries and filtered questions but none of these stop the build up of abandoned and answered but unaccepted questions.
In the blog post Why Can’t I Accept My Own Answer? Jeff Atwood gives a great explanation of the spirit of accepting answers. Two pertinent quotes from that posting are...

  
## testfn.Rmd
---
title: "testfn"
output: html_document
---

```{r knitr-setup, include=FALSE, echo=FALSE}
library(knitr)
```

```{r insert-fun, echo=FALSE}

## SpanError.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                Thell
                / SpanError.md
            
            
              Created
              June 22, 2015 20:08
            
              
                Closing span tag parsing error.
              
          
\begin{equation*}
1
\end{equation*}


## MathjaxVer.Rmd
---
output: html_document
---

### RStudio MathJax and the preview window/pane

When $MathJax$ is rendered it should be using

```{r}
Sys.getenv(x = "RMARKDOWN_MATHJAX_PATH")
	// [[Rcpp::plugins("cpp11")]]

	#include <ostream>
	#include <iterator>
	#include <RcppCommon.h>

	class BadIter;
	RCPP_EXPOSED_CLASS(BadIter)

	#include <Rcpp.h>
	// [[Rcpp::plugins("cpp11")]]

	#include <RcppCommon.h>

	class preVector;
	RCPP_EXPOSED_CLASS(preVector)

	class postVector;
	RCPP_EXPOSED_CLASS(postVector)
	_Why_ it is so slow? A little research located a mail group posting from a year ago this month where @hadley, the package author, [states][2]

	> This is a drawback of the way that ddply always works with data
	frames. It will be a bit faster if you use summarise instead of
	data.frame (because data.frame is very slow), but I'm still thinking
	about how to overcome this fundamental limitation of the ddply
	approach.

	---
	/***
	*
	* Scenario:
	*
	* You desire to use RCPP_EXPOSE_CLASS on a class and it needs to store
	* a pointer to somewhere in a constructor initialized container either
	* using the default initializer list or from within the constructor.
	*
	* Problem:
	*
	clang++ -I/usr/share/R/include -DNDEBUG -I../inst/include/ -I"/home/thell/R/x86_64-pc-linux-gnu-library/3.0/Rcpp/include" -fpic -Wall -O3 -c RcppExports.cpp -o RcppExports.o
	14
	** libs
	15
	clang++ -I/usr/share/R/include -DNDEBUG -I../inst/include/ -I"/home/thell/R/x86_64-pc-linux-gnu-library/3.0/Rcpp/include" -fpic -Wall -O3 -c RcppMultiPrecision.cpp -o RcppMultiPrecision.o
	16
	clang++ -shared -o RcppMultiPrecision.so RcppExports.o RcppMultiPrecision.o -lmpfr -lgmp -L/usr/lib/R/lib -lR
	---
	title: "Pandoc MathTest"
	author: "Thell"
	date: "04/09/2014"
	output:
	html_document: default
	pdf_document:
	pandoc_args: --tex-escape-outer-math
	---
	---
	title: "testfn"
	output: html_document
	---

	```{r knitr-setup, include=FALSE, echo=FALSE}
	library(knitr)
	```

	```{r insert-fun, echo=FALSE}
	---
	output: html_document
	---

	### RStudio MathJax and the preview window/pane

	When $MathJax$ is rendered it should be using

	```{r}
	Sys.getenv(x = "RMARKDOWN_MATHJAX_PATH")