This web-tool enables the applied researchers to investigate treatment effects on dependent variable. In this web-tool, we present the one-way tests in independent groups designs, pairwise comparisons, graphical approaches, and assess variance homogeneity and normality of data in each group via tests and plots.
This web-tool is a web-interface of the onewaytests package in R. The application includes well-known one-way tests in independent groups designs including one-way analysis of variance, Kruskal-Wallis test, Welch heteroscedastic F test, Brown-Forsythe test. In addition to these well-known tests, Alexander-Govern test, James second order test, Welch heteroscedastic F test with trimmed means and Winsorized variances, Generalized Test Equivalent to Parametric Bootstrap Test, Generalized Test Equivalent to Fiducial Test, Scott-Smith test, Box F test and Johansen F test, not available in most statistical software, are able to be reached via this tool. Also, pairwise comparisons can be applied if the statistically significant difference is obtained. Also, the tool includes Student t test, Welch t test and Mann-Whitney U test for two samples.
Normality and variance homogeneity are the vital assumptions for the selection of the appropriate test. Therefore, this tool also enables the users to check these assumptions via variance homogeneity and normality tests. Moreover, it enables the users some basic descriptive statistics and graphical approaches.
Usage of the web-tool
(i) load your data set using Data upload tab.
(ii) define response and group variables using Describe data tab.
(iii) check the homogeneity of variance via variance homogeneity tests and normality through normality tests and plots in the Describe data tab. Researchers can also reach the descriptive statistics using this tab.
(iv) compare the groups through one-way tests in independent groups designs and make pairwise comparisons in the One-way tests tab.
(v) obtain the graphics by groups in the Graphics tab.
Users can download normality plots (as pdf) from Describe data tab, graphics (as pdf) from Graphics tab. Users can copy and paste all results in text or word files.
If there are missing values in the data, a listwise deletion will be applied and a complete-case analysis will be performed.
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [ctb], Malwane Ananda [ctb]
Version 1.4 (2020-01-02)
(1) Generalized tests equivalent to Parametric Bootstrap and Fiducial tests are included.
(2) Minor improvements and fixes.
Version 1.3 (2019-04-26)
(1) Scott-Smith test, Box F test and Johansen F test are added.
(2) Two sample tests - Student t test, Welch t test and Mann-Whitney U test - are included.
Version 1.2 (2018-09-11)
(1) Minor visual improvements.
Version 1.1 (2017-10-11)
(1) Minor improvements and fixes.
Version 1.0 (2017-04-14)
(1) Web-tool version of the onewaytests package has been released.
Please e-mail email@example.com for any bugs and requests.