Description: A set of tools that address tasks along the pipeline from raw
data to analysis and visualization for eye-tracking data. Offers several
popular types of analyses, including linear and growth curve time analyses,
Suggests: pbapply, knitr, lme4 (>= 1.1-9), Matrix, testthat, rmarkdown,
Packaged: 2015-11-15 21:19:11 UTC; jacobdink

Imports: broom (>= 0.4.0), dplyr (>= 0.4.3), ggplot2 (>= 2.0), lazyeval
Suggests: pbapply, knitr, lme4 (>= 1.1-10), Matrix, testthat,
Packaged: 2016-01-08 19:37:12 UTC; jacobdink

Packaged: 2016-01-09 14:38:29 UTC; jacobdink

Imports: broom (>= 0.3.7), dplyr (>= 0.4.3), ggplot2 (>= 2.0), lazyeval
Packaged: 2016-01-26 03:59:43 UTC; jacobdink

Packaged: 2016-03-05 18:06:15 UTC; jacobdink

Packaged: 2016-03-17 16:01:15 UTC; jacobdink

Packaged: 2018-02-14 21:16:53 UTC; jacobdink

Packaged: 2018-12-03 20:02:33 UTC; jacobdink

person("Samuel", "Forbes", email = "samuel.h.forbes@gmail.com", role = c("aut", "cre")),
person("Jacob", "Dink", email = "jacobwdink@gmail.com", role = c("aut")),
Description: Addresses tasks along the pipeline from raw
bootstrapping approaches. For references to the approach see Mirman,
Imports: broom (>= 0.3.7), broom.mixed, ggplot2 (>= 2.0), lazyeval (>=
Suggests: pbapply, knitr, lme4 (>= 1.1-10), glmmTMB, MASS, Matrix,

Title: Easy analysis and visualization of factorial experiments.
Maintainer: Michael A. Lawrence <Mike.Lawrence@dal.ca>
Description: This package facilitates easy analysis of factorial
experiments, including purely within-Ss designs (a.k.a.
"repeated measures"), purely between-Ss designs, and mixed
within-and-between-Ss designs. The functions in this package
provide easy access to descriptive statistics, ANOVA, and

provide easy access to descriptive statistics, ANOVA,
permutation tests, and visualization of results.

Package: ez
Version: 2.0-0
Date: 2010-08-30
Title: Easy analysis and visualization of factorial experiments.
Author: Michael A. Lawrence <Mike.Lawrence@dal.ca>
Maintainer: Michael A. Lawrence <Mike.Lawrence@dal.ca>
Depends: R (>= 2.6-1), car (>= 2.0-0), reshape (>= 0.8-3), plyr (>=
1.1), ggplot2 (>= 0.8-8), stringr (>= 0.4), lme4 (>=
0.999375-35)
Description: This package facilitates easy analysis of factorial
experiments, including purely within-Ss designs (a.k.a.
"repeated measures"), purely between-Ss designs, and mixed
within-and-between-Ss designs. The functions in this package
aim to provide simple, intuitive and consistent specification
of data analysis and visualization. Visualization functions
also include design visualization for pre-analysis data
auditing, and correlation matrix visualization. Finally, this
package includes functions for non-parametric analysis,
including permutation tests and bootstrap resampling. The
bootstrap function obtains predictions either by cell means or
by more advanced/powerful mixed effects models, yielding
predictions and confidence intervals that may be easily
visualized at any level of the experiment's design.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2010-08-30 06:20:19 UTC; mike
Repository: CRAN
Date/Publication: 2010-08-30 10:18:08