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aRrgh: a newcomer's (angry) guide to R
"R is a shockingly dreadful language for an exceptionally useful data analysis environment. The more you learn about the R language, the worse it will feel. The development environment suffers from literally decades of accretion of stupid hacks from a community containing, to a first-order approximation, zero software engineers."
to amusements language-design r statistics ... on 06 October 2015
Predicting the results of the general election using R. With pretty pictures.
to election modelling politics prediction statistics uk ... on 28 March 2015
Togaware: Hands-On Data Science with R
A course on data mining and related techniques using R.
to data data-mining r statistics ... on 13 March 2015
Welcome — Statistics Done Wrong
"A woefully incomplete guide." But what it does talk about is good advice.
to ag0803 science statistics ... on 13 March 2015
36-350, Statistical Computing, Fall 2013
Programming course for people who know some statistics already.
to maths programming r statistics teaching ... on 03 October 2014
"Decide on a sample size in advance and wait until the experiment is over before you start believing the “chance of beating original” figures that the A/B testing software gives you."
to ag0803 honours significance statistics testing ... on 24 August 2014
Mostly about detecting cheating in chess through extremely crafty statistical methods. Fascinating stuff -- although you probably need to know more about chess than I do to really appreciate it.
to cheating chess competition games statistics ... on 24 August 2014
StatsModels: Statistics in Python — statsmodels documentation
Fancy statistics package for Python. (Not quite as fancy as R, but then again you also don't have to write in R to use it...)
to library python statistics ... on 28 April 2014
With lots of handy guides for scientific data processing with Python. A good starting point.
to analysis data matplotlib plotting python science scipy statistics ... on 28 April 2014
matplotlib: python plotting — Matplotlib 1.3.1 documentation
Having had a play with this, I can see why everyone's so enthusiastic about it. It even has an XKCD mode.
to data graph plotting python software statistics ... on 28 April 2014
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| - statistics | |
| 1 | academia |
| 9 | ag0803 |
| 4 | amusements |
| 1 | analysis |
| 9 | benchmarking |
| 1 | biology |
| 1 | board-games |
| 1 | c++ |
| 2 | cheating |
| 2 | chess |
| 1 | cmp201 |
| 1 | comics |
| 2 | competition |
| 3 | compiler |
| 4 | confidence |
| 1 | critical-thinking |
| 1 | cs |
| 4 | data |
| 1 | data-analysis |
| 1 | data-mining |
| 1 | database |
| 1 | dice |
| 3 | effect-size |
| 1 | election |
| 1 | electronics |
| 1 | empirical |
| 4 | games |
| 2 | gnuplot |
| 1 | graph |
| 1 | graphics |
| 2 | graphing |
| 3 | honours |
| 1 | hypothesis |
| 1 | independence |
| 2 | java |
| 1 | language-design |
| 1 | library |
| 1 | llvm |
| 13 | maths |
| 1 | matplotlib |
| 1 | measurement |
| 1 | median |
| 1 | modelling |
| 1 | monopoly |
| 2 | non-parametric |
| 1 | normality |
| 1 | oscilloscope |
| 7 | performance |
| 2 | plotting |
| 1 | politics |
| 1 | prediction |
| 1 | programming |
| 6 | python |
| 3 | r |
| 1 | radio |
| 1 | random |
| 2 | reproducibility |
| 9 | research |
| 1 | retrotech |
| 1 | rpg |
| 8 | science |
| 1 | scipy |
| 1 | scotland |
| 1 | sheep |
| 5 | significance |
| 1 | simulation |
| 2 | software |
| 1 | spreadsheet |
| 1 | st-kilda |
| 47 | statistics |
| 5 | teaching |
| 2 | testing |
| 1 | timing |
| 1 | uk |
| 1 | ukc |
| 1 | validation |
| 1 | vision |
| 3 | visualisation |
| 1 | vm |
| 1 | wine |
tasty by Adam Sampson.