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Sub CollapseHeadings() | |
' Use this code at your own risk | |
' It works for me. I use it in Word documents while in Outline View | |
' for documents set up with Outline View in mind | |
' Remember Ctrl + Pause Break will get break the program | |
On Error GoTo ErrorHandler | |
Dim r As Range, o As Integer, p As Long, f As Boolean | |
Dim currentOutlineLevel, nextOutlineLevel | |
Dim timeout As Integer ' used to pre | |
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kbd{white-space:nowrap; | |
color:#000; | |
background:#eee; | |
border-style:solid; | |
border-color:#ccc #aaa #888 #bbb; | |
padding:2px 6px; | |
-moz-border-radius:4px; | |
-webkit-border-radius:4px; | |
border-radius:4px; | |
-moz-box-shadow:0 2px 0 rgba(0, 0, 0, 0.2),0 0 0 1px #ffffff inset; |
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* asdf | |
```{r} | |
'asdf' | |
``` |
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#!/bin/bash | |
bibtexstylefile=apalike | |
bibtexdatabase=$BIB | |
pdfdirectory=$BIBDIR | |
pdfprogram=evince | |
pandocoutputformat=plain | |
# returntask | |
# bibtex : return bibtex record (default) | |
# format : return |
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This document is just a test of RPubs platform for publishing R Markdown. I'll use the `survey` dataset from the `MASS` package to explore a few features. | |
```{r get_data, message=FALSE} | |
library(MASS) | |
library(psych) | |
library(Hmisc) | |
library(xtable) | |
data(survey) | |
``` |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" | |
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> | |
<!-- saved from url=(0014)about:internet --> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"> | |
<title></title> | |
<base target="_blank"/> |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" | |
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> | |
<!-- saved from url=(0014)about:internet --> | |
<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"> | |
<title></title> |
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`r opts_chunk$set(cache=TRUE)` | |
This is a quick set of analyses of the California Test Score dataset. The post was produced using R Markdown in RStudio 0.96. The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report. It provides examples of using plots, output, in-line R code, and markdown. The post is designed to be read along side the R Markdown source code, which is available as a gist on github. | |
<!-- more --> | |
### Preliminaries | |
* This post builds on my earlier post which provided a guide for [Getting Started with R Markdown, knitr, and RStudio 0.96](jeromyanglim.blogspot.com/2012/05/getting-started-with-r-markdown-knitr.html) | |
* The dataset analysed comes from the `AER` package which is an accompaniment to the book [Applied Econometrics with R](http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169) written by [Christian Kleiber](http://wwz.unibas.ch/personen/profil/person/kleiber/) and [Achim Zeileis](http://eeecon.uibk.ac.at/~zeileis/ |
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<expt ability> | |
/preinstructions = (initial.instructions) | |
/blocks=[1=pm.simple; 2=pm.4choice; 3=ac.test.type] | |
</expt> | |
<data> | |
/columns=[date, time, build, subject, trialcode, blockcode, blocknum, trialnum, latency, response, pretrialpause, | |
posttrialpause, trialtimeout, blocktimeout, correct, stimulusitem, stimulusnumber, | |
display.height, display.width, | |
computer.cpuspeed, computer.os, |
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6162.178176 0.049820046 | |
4675.14432 0.145022261 | |
5969.056896 0.47210138 | |
5357.506176 0.052263122 | |
33.796224 16.45154204 | |
6162.178176 0.064262991 | |
6725.448576 0.419005508 | |
3247.656192 0.867394771 | |
5357.506176 0.052263122 | |
3612.97728 0.091337414 |