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1 <?xml version="1.0"?>
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2 <tool_dependency>
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3 <package name="R" version="3.1.2">
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4 <repository changeset_revision="1ca39eb16186" name="package_r_3_1_2" owner="iuc" prior_installation_required="True" toolshed="https://testtoolshed.g2.bx.psu.edu" />
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5 </package>
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6
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7 <package name="pmcmr" version="4.1">
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8 <install version="1.0">
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9 <actions>
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10 <action type="setup_r_environment">
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11 <repository changeset_revision="1ca39eb16186" name="package_r_3_1_2" owner="iuc" toolshed="https://testtoolshed.g2.bx.psu.edu">
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12 <package name="R" version="3.1.2" />
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13 </repository>
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14
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15 <package>http://application.sb-roscoff.fr/download/w4m/cran-archive/package_r_pmcmr_4_1/PMCMR_4.1.tar.gz</package>
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16 <package>http://application.sb-roscoff.fr/download/w4m/cran-archive/package_r_pmcmr_4_1/batch_1.1-4.tar.gz</package>
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17 </action>
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18 </actions>
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19 </install>
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20 <readme>
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21 PMCMR: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
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22
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23 The Kruskal and Wallis one-way analysis of variance by ranks or van der Waerden's normal score test can be employed, if the data do not meet the assumptions for one-way ANOVA. Provided that significant differences were detected by the omnibus test, one may be interested in applying post-hoc tests for pairwise multiple comparisons (such as Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test). Similarly, one-way ANOVA with repeated measures that is also referred to as ANOVA with unreplicated block design can also be conducted via the Friedman-Test or the Quade-test. The consequent post-hoc pairwise multiple comparison tests according to Nemenyi, Conover and Quade are also provided in this package. Finally Durbin's test for a two-way balanced incomplete block design (BIBD) is also given in this package.
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24
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25 Author: Thorsten Pohlert thorsten.pohlert at gmx.de
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26
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27 </readme>
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28 </package>
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29 </tool_dependency>
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