summaryStatistics | R Documentation |

superb adds a few summary statistics that can
be used to characterize a dataset. All comes with `SE.fct()`

and `CI.fct()`

.
See \insertCitehtc14,htc15superb for more.
*superbPlot-compatible* summary statistics functions must have one parameter:

```
hmean(x)
gmean(x)
MAD(x)
fisherskew(x)
pearsonskew(x)
fisherkurtosis(x)
```

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

a summary statistic describing the sample.

```
# 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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