Package 'AovBay'

Title: Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel
Description: It covers various approaches to analysis of variance, provides an assumption testing section in order to provide a decision diagram that allows selecting the most appropriate technique. It provides the classical analysis of variance, the nonparametric equivalent of Kruskal Wallis, and the Bayesian approach. These results are shown in an interactive shiny panel, which allows modifying the arguments of the tests, contains interactive graphics and presents automatic conclusions depending on the tests in order to contribute to the interpretation of these analyzes. 'AovBay' uses 'Stan' and 'FactorBayes' for Bayesian analysis and 'Highcharts' for interactive charts.
Authors: Mauricio Rojas-Campuzano [aut, cre, ctb], Johny Pambabay-Calero [aut, ctb], Sergio Bauz-Olvera [ctb], Omar Ruiz-Barzola [ctb]
Maintainer: Mauricio Rojas-Campuzano <[email protected]>
License: MIT + file LICENSE
Version: 0.1.0
Built: 2025-01-24 04:30:16 UTC
Source: https://github.com/cran/AovBay

Help Index

The 'AovBay' package.

Description

Package developed for the visualization and presentation of one-way analysis of variance models, with a classical, non-parametric and Bayesian approach.

References

Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org

Interactive panel ANOVA classic, non parametric and bayesian

Description

Interactive panel to visualize and develop one-way analysis of variance models, from the classical, non-parametric and Bayesian approach.

Usage

aovbayes(dataset = FALSE)

Arguments

dataset

Data set

Value

A shiny panel with the classical, non-parametric and Bayesian analyzes of variance, based on the specification of the dependent and independent variable of the data set provided in dataset, also provides a decision diagram that suggests which method is appropriate, based on the assumptions of the models.

Examples

data(PollutionData)
aovbayes(PollutionData)

Pollutions Data Set

Description

A data set of removal of a pharmaceutical product classified as emerging pollutants in aqueous medium using the vetiver species (Chrysopogon zizanioides).

Usage

PollutionData

Format

A data frame:

CONC.ppm

Concentration of the pollution in parts per million.

RemocionPorc

Remotion Percent.

Source

<http://revistabionatura.com/2021.06.01.7.html>