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jeromyanglim / bibmash
Created Jun 10, 2012
script for extracting apa; I might write a post at some point about how it all works. it's mainly a personal script; it's very raw; use at own risk
View bibmash
# returntask
# bibtex : return bibtex record (default)
# format : return
View rpubs-test.rmd
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}
jeromyanglim / loopsrmarkdown.html
Created May 22, 2012
example of loops and plots in R Markdown
View loopsrmarkdown.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
<!-- saved from url=(0014)about:internet -->
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<base target="_blank"/>
jeromyanglim / r-markdown-example.html
Created May 21, 2012
file produced by R Markdown example
View r-markdown-example.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
<!-- saved from url=(0014)about:internet -->
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
View caschools-analysis.rmd
`r opts_chunk$set(cache=TRUE)`
This is a quick set of analyses of the California Test Score dataset. The post was produced using R Markdown in RStudio 0.96. The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report. It provides examples of using plots, output, in-line R code, and markdown. The post is designed to be read along side the R Markdown source code, which is available as a gist on github.
<!-- more -->
### Preliminaries
* This post builds on my earlier post which provided a guide for [Getting Started with R Markdown, knitr, and RStudio 0.96](
* The dataset analysed comes from the `AER` package which is an accompaniment to the book [Applied Econometrics with R]( written by [Christian Kleiber]( and [Achim Zeileis](
jeromyanglim / example-r-markdown.rmd
Created May 17, 2012
Example of using R Markdown
View example-r-markdown.rmd
This post examines the features of [R Markdown](
using [knitr]( in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for
[reproducible analysis](
Specifically, this post
(1) discusses getting started with R Markdown and `knitr` in Rstudio 0.96;
(2) provides a basic example of producing console output and plots using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and
(5) discusses the implications of R Markdown.
View mathjax-addition
<script type="text/javascript"
<script type="text/javascript">MathJax.Hub.Config({tex2jax: {processEscapes: true,
processEnvironments: false, inlineMath: [ ['$','$'] ],
displayMath: [ ['$$','$$'] ] },
asciimath2jax: {delimiters: [ ['$','$'] ] },
"HTML-CSS": {minScaleAdjust: 125 } });
jeromyanglim / abilitytests.exp
Created May 11, 2012
Simple, 2-choice, and 4-choice reaction time experiment using Inquisit
View abilitytests.exp
<expt ability>
/preinstructions = (initial.instructions)
/blocks=[1=pm.simple; 2=pm.4choice; 3=ac.test.type]
/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,
jeromyanglim / 3catggplot2.r
Created May 3, 2012
plot with three categorical variables and one continuous variable using ggplot2
View 3catggplot2.r
# Create some data
Data <- expand.grid(group=c("Apples", "Bananas", "Carrots", "Durians", "Eggplants"),
year=c("2000", "2001", "2002"),
quality=c("Grade A", "Grade B", "Grade C", "Grade D", "Grade E"))
Group.Weight <- data.frame(
group=c("Apples", "Bananas", "Carrots", "Durians", "Eggplants"),
View data.txt
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
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