Description Usage Arguments Details Value See Also Examples

This function calcualtes a suite of pre-defined statistics on binned distributions using pre-calculated midpoints for each bin.

1 |

`data` |
a (non-empty) data frame with columns named ID, mids, and hb. |

Currently has the following stats: 'mean','median','gini','theil','cv','MLD'. FIXME - reference to functions in gamlss

Returns a data frame with the following columns: 'ID','mean','median','gini','theil','cv','MLD', 'SLD'. "cv" is the coefficient of variation, "MLD" is the mean log deviance, and "SLD" is the squar root of the MLD.

1 2 3 4 5 6 7 | ```
data(state_bins)
bin_mids <- getMids(ID = state_bins[,'State'], hb =
state_bins[,'hb'], lb = state_bins[,'bin_min'], ub =
state_bins[,'bin_max'], alpha_bound = 10/9)
state_bin_mid_stats <- midStats(data = bin_mids$mids)
``` |

```
Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data
Attaching package: 'gamlss.data'
The following object is masked from 'package:datasets':
sleep
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
********** GAMLSS Version 5.1-3 **********
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.
Loading required package: gamlss.cens
Loading required package: survival
```

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