CRAN/E | ANOFA

ANOFA

Analyses of Frequency Data

Installation

About

Analyses of frequencies can be performed using an alternative test based on the G statistic. The test has similar type-I error rates and power as the chi-square test. However, it is based on a total statistic that can be decomposed in an additive fashion into interaction effects, main effects, simple effects, contrast effects, etc., mimicking precisely the logic of ANOVA. We call this set of tools 'ANOFA' (Analysis of Frequency data) to highlight its similarities with ANOVA. This framework also renders plots of frequencies along with confidence intervals. Finally, effect sizes and planning statistical power are easily done under this framework. The ANOFA is a tool that assesses the significance of effects instead of the significance of parameters; as such, it is more intuitive to most researchers than alternative approaches based on generalized linear models. See Laurencelle and Cousineau (2023) doi:10.20982/tqmp.19.2.p173.

Citation ANOFA citation info
dcousin3.github.io/ANOFA/
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 3.5.0
Published 2023-11-18 153 days ago
Needs compilation? no
License GPL-3
CRAN checks ANOFA results

Downloads

Yesterday 4
Last 7 days 28 -28%
Last 30 days 213 -9%
Last 90 days 810 +54%
Last 365 days 1.330

Maintainer

Maintainer

Denis Cousineau

denis.cousineau@uottawa.ca

Authors

Denis Cousineau

aut / cre

Louis Laurencelle

ctb

Pier-Olivier Caron

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Confidence intervals with frequencies
Data formats for frequencies
What is Analysis of Frequency Data?

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-releasenot available

x86_64

r-oldrel

x86_64

Old Sources

ANOFA archive

Depends

R ≥ 3.5.0

Imports

rrapply ≥ 1.2.6
superb ≥ 0.95.0
Rdpack ≥ 0.7
ggplot2 ≥ 3.1.0
stats
utils

Suggests

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