geometric_mean | R Documentation |

The Geometric mean is the nth-root of the product of `n`

input values.
Common uses include computing economic utility. That is to say, the utility of
`c(1, 2, 10)`

is

`(1 * 2 * 10)/3`

= 6.6 not 6.3 (the arithmetic mean).

```
geometric_mean(x, na.rm = c(TRUE, FALSE))
```

`x` |
A vector of values. |

`na.rm` |
remove NAs by default. |

Geometric mean of x

Other Miscellaneous Stats Functions:
`FishersMethod()`

,
`SE_from_p()`

,
`harmonic_mean()`

,
`oddsratio()`

,
`reliability()`

,
`umxCov2cor()`

,
`umxHetCor()`

,
`umxParan()`

,
`umxWeightedAIC()`

,
`umx_apply()`

,
`umx_cor()`

,
`umx_means()`

,
`umx_r_test()`

,
`umx_round()`

,
`umx_scale()`

,
`umx_var()`

,
`umx`

```
geometric_mean(c(50, 100))
# For a given sum, geometric mean is maximised with equality
geometric_mean(c(75,75))
v = c(1, 149); c(sum(v), geometric_mean(v), mean(v), median(v))
# 150.00000 12.20656 75.00000 75.00000
# Underlying logic
sqrt(50 * 100)
# Alternate form using logs
exp(mean(log(c(50 *100))))
# Reciprocal duality
1/geometric_mean(c(100, 50))
geometric_mean(c(1/100, 1/50))
```

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