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onewaytests (version 2.4)

One-Way Tests in Independent Groups Designs

Description

Performs one-way tests in independent groups designs; 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, ).

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Version

Install

install.packages('onewaytests')

Monthly Downloads

1,876

Version

2.4

License

GPL (>= 2)

Maintainer

Osman Dag

Last Published

August 19th, 2019

Functions in onewaytests (2.4)

homog.test

Variance Homogeneity Tests
gp.test

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

Box F Test
gplot

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

James Second Order Test
bf.test

Brown-Forsythe Test
johansen.test

Johansen F Test
ag.test

Alexander-Govern Test
describe

Descriptive Statistics
welch.test

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

Welch's t-Test
paircomp.jt

Pairwise Comparisons for James Second Order Test
paircomp

Pairwise Comparisons
nor.test

Normality Tests
onewaytests-package

One-Way Tests in Independent Groups Designs
mw.test

Mann-Whitney U Test
kw.test

Kruskal-Wallis Test
aov.test

One-Way Analysis of Variance
st.test

Student's t-Test
ss.test

Scott-Smith Test