superb adds a few summary statistics that can
be used to characterize a dataset. All comes with
See \insertCitehtc14,htc15superb for more.
superbPlot-compatible summary statistics functions must have one parameter:
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a vector of numbers, the sample data (mandatory);
a summary statistic describing the sample.
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# the confidence interval of the mean for default 95% and 90% confidence level gmean( c(1,2,3) ) # the geometric mean; also available in psych::geometric.mean hmean( c(1,2,3) ) # the harmonic mean; also available in psych::harmonic.mean MAD( c(1,2,3) ) # the median absolute deviation to the median (not the same as mad) fisherskew( c(1,2,3) ) # the Fisher skew corrected for sample size fisherkurtosis( c(1,2,3) ) # the Fisher kurtosis corrected for sample size pearsonskew( c(1,2,3) ) # the Pearson skew
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