# RMD - Relative Mean Difference

Returns the sample relative mean difference.

## Syntax

RMD(X)
X
is the input data sample (one/two dimensional array of cells (e.g. rows or columns))

## Remarks

1. The time series may include missing values (e.g. #N/A, #VALUE!, #NUM!, empty cell), but they will not be included in the calculations.
2. The relative mean difference is defined in terms of the mean difference as follows:

$$\mathrm{RMD}= \frac{\mathrm{MD}}{\bar{x}}$$
where:
• $\bar{x}$ is the sample mean (average) of the time series
• $\mathrm{MD}$ is the mean difference of the time series
3. The RMD is also equal to twice the Gini coefficient.

## Examples

Example 1:

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A B
Date Data
1/1/2008 #N/A
1/2/2008 -1.28
1/3/2008 0.24
1/4/2008 1.28
1/5/2008 1.20
1/6/2008 1.73
1/7/2008 -2.18
1/8/2008 -0.23
1/9/2008 1.10
1/10/2008 -1.09
1/11/2008 -0.69
1/12/2008 -1.69
1/13/2008 -1.85
1/14/2008 -0.98
1/15/2008 -0.77
1/16/2008 -0.30
1/17/2008 -1.28
1/18/2008 0.24
1/19/2008 1.28
1/20/2008 1.20
1/21/2008 1.73
1/22/2008 -2.18
1/23/2008 -0.23
1/24/2008 1.10
1/25/2008 -1.09
1/26/2008 -0.69
1/27/2008 -1.69
1/28/2008 -1.85
1/29/2008 -0.98

Formula Description (Result)
=RMD($B$2:$B$30,1,1) Relative mean difference (-4.085)