## Recently Published

##### Filtering by Significance Mis-estimates Small Effect Sizes

This is a demonstration of what has been pointed out by [Gelman and colleagues](http://andrewgelman.com/2010/12/13/the_truth_wears/) that when dealing with truly small effects, screening results by statistical significance will leade to large Type-M (magnitude) and Type-S (sign) errors.

##### aw tracks

Modelling of /aw/ F1

##### Sampling Subgroups from Data

This is a brief tutorial on how to subsample groups from a data frame using dplyr.

##### Analysis of a Philadelphia Weather Station Data during Hurricane Sandy

Basic meteorological stats for South Philly during Hurricane Sandy.

##### <code>knitr</code>

Testing whether this will render html5 slides correctly.