Paper Info
Title
onewaytests: An R Package for One-Way Tests in Independent Groups Designs
Abstract
One-way tests in independent groups designs are the most commonly utilized statistical methods with applications on the experiments in medical sciences, pharmaceutical research, agriculture, biology, engineering, social sciences and so on. In this paper, we present the onewaytests package to investigate treatment effects on the dependent variable. The package offers the one-way tests in independent groups designs, which include ANOVA, Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test and Kruskal-Wallis test. The package also provides pairwise comparisons, graphical approaches, and assesses variance homogeneity and normality of data in each group via tests and plots. A simulation study is also conducted to give recommendations for applied researchers on the selection of appropriate one-way tests under assumption violations. Furthermore, especially for non-R users, a user-friendly web application of the package is provided.
Year
DOI
Venue
2018
10.32614/rj-2018-022
R JOURNAL
Field
DocType
Volume
Normality,Pairwise comparison,False discovery rate,Heteroscedasticity,Homogeneity (statistics),Computer science,F-test,Variables,Statistics,Analysis of variance
Journal
10
Issue
ISSN
Citations 
1
2073-4859
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Osman Dag101.69
Anil Dolgun200.34
Naime Meric Konar300.68