# geometricmean: The geometric mean

### Description

Computes the geometric mean.

### Usage

 ```1 2 3 4 5 6 7``` ``` geometricmean(x,...) geometricmeanRow(x,...) geometricmeanCol(x,...) gsi.geometricmean(x,...) gsi.geometricmeanRow(x,...) gsi.geometricmeanCol(x,...) ```

### Arguments

 `x` a numeric vector or matrix of data `...` further arguments to compute the mean

### Details

The geometric mean is defined as:

geometricmean(x) := \code{prod(x)^(1/length(x))}

The geometric mean is actually computed by `exp(mean(log(c(unclass(x))),...))`.

### Value

The geometric means of x as a whole (geometricmean), its rows (geometricmeanRow) or its columns (geometricmeanCol).

### Missing Policy

The the first three functions take the geometric mean of all non-missing values. This is because they should yield a result in term of data analysis.

Contrarily, the gsi.* functions inherit the arithmetic IEEE policy of R through `exp(mean(log(c(unclass(x))),...))`. Thus, NA codes a not available i.e. not measured, NaN codes a below detection limit, and 0.0 codes a structural zero. If any of the elements involved is 0, NA or NaN the result is of the same type. Here 0 takes precedence over NA, and NA takes precedence over NaN. For example, if a structural 0 appears, the geometric mean is 0 regardless of the presence of NaN's or NA's in the rest. Values below detection limit become NaN's if they are coded as negative values.

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

`mean.rplus`

### Examples

 ```1 2 3 4 5 6``` ```geometricmean(1:10) geometricmean(c(1,0,NA,NaN)) # 0 X <- matrix(c(1,NA,NaN,0,1,2,3,4),nrow=4) X geometricmeanRow(X) geometricmeanCol(X) ```

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