Skip to content

Instantly share code, notes, and snippets.

View jeromyanglim's full-sized avatar

Jeromy Anglim jeromyanglim

173 followers · 23 following
View GitHub Profile
@jeromyanglim
jeromyanglim / winterOlympicsMedals.r
Created March 21, 2010 12:35
Analysis of Winter Olympic Medals
# tips on reading a Google Spreadsheet:
# http://blog.revolution-computing.com/2009/09/how-to-use-a-google-spreadsheet-as-data-in-r.html
# Data taken from:"https://spreadsheets.google.com/ccc?key=0AgdO92JOXxAOdDVlaUpkNlB2WERtV3l1ZVFYbzllQWc"
# http://www.guardian.co.uk/news/datablog/2010/feb/11/winter-olympics-medals-by-country
googleLink <- "http://spreadsheets.google.com/pub?key=tsddww6vOYePkhPSxRpDeYw&single=true&gid=1&output=csv"
medals <- read.csv(googleLink, stringsAsFactors = FALSE)
savePlot <- TRUE # optional variable used to save or not save plots in code
# remove rows that do not contain data
@jeromyanglim
jeromyanglim / factorAnalysisExampleFromJeromyAnglimBlog.r
Created March 26, 2010 02:33
Factor Analysis of 50 item personality test
# Example from: http://jeromyanglim.blogspot.com/2009/10/factor-analysis-in-r.html
# Jeromy Anglim
# Required packages.
require(psych);
require(foreign);
# Import data from SPSS data file.
personality <- foreign::read.spss("spss\\personality.sav",
to.data.frame = TRUE)
@jeromyanglim
jeromyanglim / hello_world.r
Created November 19, 2010 14:12
simple example of a gist
hello_world <- function() {
print("Hello World")
}
hello_world()
@jeromyanglim
jeromyanglim / reaction.exp
Created April 23, 2011 14:02
Inquisit script showing an example simple RT task, four choice RT task, and typing test
# Experiment
<expt ability>
/preinstructions = (initial.instructions)
/blocks=[
1=pm.simple;
2=pm.4choice;
3=ac.test.type]
</expt>
<data>
@jeromyanglim
jeromyanglim / percentile.r
Created July 24, 2011 02:21
Percentile example for Stats.SE
# Get data
x <- c(93150, 93116, 93096, 93085, 92923, 92823, 92745, 92150, 91785, 91775,
91775, 91735, 91727, 91633, 91616, 91604, 91587, 91579, 91488, 91427, 91398,
91339, 91338, 91290, 91268, 91084, 91072, 90909, 86164, 85372, 83835, 83428,
81372, 81281, 81238, 81195, 81131, 81030, 81011, 80730, 80721, 80682, 80666,
80585, 80565, 80534, 80497, 80464, 80374, 80226, 80223, 80178, 80178, 80147,
80137, 80111, 80048, 80027, 79948, 79902, 79818, 79785, 79752, 79675, 79651,
79620, 79586, 79535, 79491, 79388, 79277, 79269, 79254, 79194, 79191, 79180,
79170, 79162, 79154, 79142, 79129, 79090, 79062, 79039, 79011, 78981, 78979,
78936, 78923, 78913, 78829, 78809, 78742, 78735, 78725, 78618, 78606, 78577,
@jeromyanglim
jeromyanglim / data.txt
Created October 27, 2011 21:53
data from http://stats.stackexchange.com/questions/17618/what-can-i-do-beyond-pearson-correlation
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
@jeromyanglim
jeromyanglim / 3catggplot2.r
Created May 3, 2012 12:10
plot with three categorical variables and one continuous variable using ggplot2
#http://jeromyanglim.blogspot.com.au/2012/05/how-to-plot-three-categorical-variables.html
library(ggplot2)
# Create some data
set.seed(4444)
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"),
@jeromyanglim
jeromyanglim / abilitytests.exp
Created May 11, 2012 05:56
Simple, 2-choice, and 4-choice reaction time experiment using Inquisit
<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,
@jeromyanglim
jeromyanglim / mathjax-addition
Created May 17, 2012 03:37
mathjax code
<script type="text/javascript"
src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>
<script type="text/javascript">MathJax.Hub.Config({tex2jax: {processEscapes: true,
processEnvironments: false, inlineMath: [ ['$','$'] ],
displayMath: [ ['$$','$$'] ] },
asciimath2jax: {delimiters: [ ['$','$'] ] },
"HTML-CSS": {minScaleAdjust: 125 } });
</script>
@jeromyanglim
jeromyanglim / example-r-markdown.rmd
Created May 17, 2012 04:23
Example of using R Markdown
This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown)
using [knitr](http://yihui.name/knitr/) in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for
[reproducible analysis](http://stats.stackexchange.com/a/15006/183).
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.