[R-pkgs] ez version 2.0

[Mike Lawrence]

The ez package was developed to aid those that are new to statistical
programming. Over the course of several years of helping colleagues
and students learn R, I observed that folks are often initially turned
off R because they have difficulty obtaining SPSS-like results quickly
(SPSS is the dominant environment in my field, psychology). ez
attempts to fill this gap, providing quick and easy analysis and
graphics for common experimental designs. By easing the early portions
of the R learning curve, ez hopes to promote the spread of R as a
means of open source and reproducible analysis. ez now also attempts
to pique interest in cutting-edge statistical methods by providing
easy specification and visualization of simple* mixed effects models.

*--> mixed effects models are limited to those with a single random
effect (eg. Participant) and no numeric predictors.


New in version 2.0
- ezDesign(), a function to visualize the balance of data across a
specified experimental design (useful for diagnosing missing data)
- ezPrecis(), a function to summarize a data set (inspired by
summary(), str(), and YaleToolkit:whatis() )
- ezBoot() and ezPlotBoot(), functions to compute and visualize
(respectively) bootstrapped confidence intervals for either cell means
or predictions from a mixed effects model
- ezANOVA() updated with an improved measure of effect size:
generalized eta-square.
- ezPlot() updated to permit simultaneous plotting of multiple DV's,
with each mapped to a row of the plot facets.
- see changelog for further changes


Enjoy!

Mike

--
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

Looking to arrange a meeting? Check my public calendar:
http://tr.im/mikes_public_calendar

~ Certainty is folly... I think. ~