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Numerical variableīefore you start to create your first boxplot() in R, you need to manipulate the data as follow: This dataset measures the airquality of New York from May to September 1973. We will use the airquality dataset to introduce boxplot() in R with ggplot. You can use the geometric object geom_boxplot() from ggplot2 library to draw a boxplot() in R.

Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance). Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion.

Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).Within subjects ANOVA and mixed models.Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.One-way and two-way ANOVA (with and without replications).Multiple definitions for computing quantile statistics.Frequency tables analysis (for discrete and continuous variables).Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).

Migration guide for users switching from Analysis ToolPak.
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