29 lines
1.4 KiB
Python
29 lines
1.4 KiB
Python
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class RPmcmr(RPackage):
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"""The Kruskal and Wallis one-way analysis of variance by ranks or van
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der Waerden's normal score test can be employed, if the data do not
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meet the assumptions for one-way ANOVA. Provided that significant
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differences were detected by the omnibus test, one may be interested
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in applying post-hoc tests for pairwise multiple comparisons (such as
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Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test).
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Similarly, one-way ANOVA with repeated measures that is also referred
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to as ANOVA with unreplicated block design can also be conducted via
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the Friedman-Test or the Quade-test. The consequent post-hoc pairwise
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multiple comparison tests according to Nemenyi, Conover and Quade are
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also provided in this package. Finally Durbin's test for a two-way
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balanced incomplete block design (BIBD) is also given in this
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package."""
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homepage = "https://cran.r-project.org/package=PMCMR"
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url = "https://cran.rstudio.com/src/contrib/PMCMR_4.1.tar.gz"
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list_url = "https://cran.rstudio.com/src/contrib/Archive/PMCMR"
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version('4.1', 'b9c0c4e4cb4f73ae36f45a47abae986a')
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