To install the package from the CRAN, the package can be installed by using following code:
install.packages("doex")
library(doex)doex provides 25 statistical test functions, two datasets and an outlier generation function:
AF(),AG(),AGF(),B2(),BF(),BX(),CF(),FA(),GF(),JF(),MBF(),MW(),OS(),OSR(),PB(),PF(),SS(),WA(), andWE()are used for heteroscedastic one-way ANOVA setup.MGF()andRGF()are used for heteroscedastic one-way ANOVA under non-normality caused by outliers and skewness, respectively.fa_exp(),gpv_exp(), andpb_exp()are used for testing equality of two-parameter distributed means under unequal scale parameters.componentandhybridare the datasets can be used for the usage examples of the tests.outly()is an outlier generation algorithm.
The Alexander-Govern (AG) test is performed with the inputs are the observations and the group labels of the observations as follows:
library(doex)
AG(hybrid$data, hybrid$species)The modified generalized F-test is performed with the inputs are the observations and the group labels of the observations as follows:
library(doex)
MBF(hybrid$data, hybrid$species)The parametric bootstrap test for two-parameter exponential distributed populations is performed with the inputs are the observations, the group labels of the observations and the repetition as follows:
library(doex)
fa_exp(component$lifetime, component$supplier)To generate outliers based on interquartile range approach, outly() function is used with some options as follows:
library(doex)
outly(8, 2, 2, 0.05, FALSE)If you use doex, please cite it:
@article{cavus2021,
author = {Mustafa Cavus and Berna Yazıcı},
title = {{Testing the equality of normal distributed and independent
groups' means under unequal variances by doex package}},
year = {2021},
journal = {{The R Journal}},
doi = {10.32614/RJ-2021-008},
url = {https://doi.org/10.32614/RJ-2021-008},
pages = {134--154},
volume = {12},
number = {2}
}
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