midStats {binequality} | R Documentation |

## A function to calculate statistics using bin midpoints

### Description

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

### Usage

```
midStats(data)
```

### Arguments

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

### Details

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

### Value

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.

### See Also

### Examples

```
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)
```

[Package

*binequality*version 1.0.4 Index]