visStatistics

Automatically selects and visualises appropriate statistical hypothesis tests between a response and a feature variable in a data frame. The choice of test depends on the class, distribution, and sample size of the input variables, as well as the user-defined 'conf.level'. Well suited for web-based or server-side R applications. Implemented tests: t.test(), wilcox.test(), aov(), oneway.test(), kruskal.test(), lm(), fisher.test(), chisq.test(). Tests for normality: shapiro.test(), ad.test(). Tests for equal variances: bartlett.test(). Post-hoc tests: TukeyHSD(), pairwise.wilcox.test().

Last 30 days

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Last 365 days

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