ggpmisc: Miscellaneous Extensions to 'ggplot2'

Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models including major axis, quantile and robust and resistant regression. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; label with ANOVA table for fitted models; label with summary table for fitted models; annotations for multiple comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.

install.packages("ggpmisc")

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