ETABLISHING DESIGN VALUES AND DURABILITY ASSESSMENT OF
significantly by a Kruskalmc Test 27 Figure 3 5: Percent weight losses of western juniper lumber obtained from four locations in the growing regions and exposed to G trabeum, in an AWPA E10 soil block tests
Package ‘pgirmess’
Package ‘pgirmess’ March 12, 2018 Version 1 6 9 Date 2018-03-11 Title Spatial Analysis and Data Mining for Field Ecologists Author Patrick Giraudoux [aut, cre],
Kruskal-Wallis Method: Compare 3 or More Samples The Non
Kruskal-Wallis Method: Compare 3 or More Samples The Non-Parametric Alternative to One-Way ANOVA Prepared by Allison Horst and Darcy Bradley For ESM 244
The Kruskal-Wallis Test
KRUSKAL-WALLIS TEST PAGE 3 The grouping variable (GROUP) has three levels: 1 = Placebo, 2 = Low Doses of Vitamin C, and 3 = High Doses of Vitamin C The test variable (DIFF_SCORE) is the number of days in
CompleteanalysisforMikheyevandLinksvayer
kruskalmc(rate ~task,data =rates) ## Multiple comparison test after Kruskal-Wallis 7 ## p value: 0 05 ## Comparisons ## obs dif critical dif difference
Package ‘multcompView’
extract_p(kruskalmc(y ~ treatments, data = experiment))} multcompBoxplot boxplot with multcomp graphics Description Create boxplots with multcompTs and / or multcompLetters Usage multcompBoxplot(formula, data, horizontal = TRUE, compFn = "TukeyHSD", sortFn = "mean", decreasing = TRUE,
HARBOR PORPOISE RETURN TO THE SOUTH PUGET RECOVERING POPULATION
2 sighted during surveys in the 1980s and 1990s (Flaherty and Stark 1982, Calambokidis et al 1985, 1993) During this time period, the most common cetacean in the Puget Sound was the Dall’s porpoise
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