superb adds a few summary statistics that can be used to characterize a dataset. All comes with SE.fct() and CI.fct(). See htc14,htc15superb for more. superbPlot-compatible summary statistics functions must have one parameter:

hmean(x)

gmean(x)

MAD(x)

fisherskew(x)

pearsonskew(x)

fisherkurtosis(x)

Arguments

x

a vector of numbers, the sample data (mandatory);

Value

a summary statistic describing the sample.

References

Examples

# 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   
#> [1] 1.817121
hmean( c(1,2,3) )  # the harmonic mean;  also available in psych::harmonic.mean   
#> [1] 1.636364
MAD( c(1,2,3) )    # the median absolute deviation to the median (not the same as mad)
#> [1] 1
fisherskew( c(1,2,3) )     # the Fisher skew corrected for sample size
#> [1] 0
fisherkurtosis( c(1,2,3) ) # the Fisher kurtosis corrected for sample size
#> [1] NaN
pearsonskew( c(1,2,3) )    # the Pearson skew
#> [1] 0