Learn R Programming

⚠️There's a newer version (3.1) of this package.Take me there.

onewaytests (version 2.6)

One-Way Tests in Independent Groups Designs

Description

Performs one-way tests in independent groups designs including homoscedastic and heteroscedastic tests. These are one-way analysis of variance (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, Kruskal-Wallis test, Scott-Smith test, Box F test and Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, ).

Copy Link

Version

Install

install.packages('onewaytests')

Monthly Downloads

1,894

Version

2.6

License

GPL (>= 2)

Maintainer

Osman Dag

Last Published

April 22nd, 2021

Functions in onewaytests (2.6)

welch.test

Welch's Heteroscedastic F Test and Welch's Heteroscedastic F Test with Trimmed Means and Winsorized Variances
st.test

Student's t-Test
ss.test

Scott-Smith Test
nor.test

Normality Tests
onewaytests-package

One-Way Tests in Independent Groups Designs
wt.test

Welch's t-Test
johansen.test

Johansen F Test
kw.test

Kruskal-Wallis Test
mw.test

Mann-Whitney U Test
paircomp.jt

Pairwise Comparisons for James Second Order Test
paircomp

Pairwise Comparisons
box.test

Box F Test
homog.test

Variance Homogeneity Tests
aov.test

One-Way Analysis of Variance
ag.test

Alexander-Govern Test
bf.test

Brown-Forsythe Test
gplot

Box-and-Whisker Plots and Error Bars
james.test

James Second Order Test
describe

Descriptive Statistics
gp.test

Test for Equal Means in a One-Way Layout under Unequal Variances