Description Usage Arguments Details Value Note See Also Examples

Calculates the geometric mean or standard deviation of a vector of numeric values.

1 2 3 |

`x` |
Vector of numeric values. |

`na.rm` |
Logical indicating whether to remove missing values or not. |

`zneg.rm` |
Logical indicating whether to ignore or remove zero or negative values found in |

The geometric mean is computed by log transforming the raw data in `x`

, computing the arithmetic mean of the transformed data, and back-transforming this mean to the geometric mean by exponentiating.

The geometric standard deviation is computed by log transforming the raw data in `x`

, computing the arithmetic standard deviation of the transformed data, and back-transforming this standard deviation to the geometric standard deviation by exponentiating.

A numeric value that is the geometric mean or geometric standard deviation of the numeric values in `x`

.

This function is largely an implementation of the code suggested by Russell Senior on R-help in November, 1999.

See `geometric.mean`

in psych and `Gmean`

for geometric mean calculators. See `Gsd`

(documented with `Gmean`

) from DescTools for geometric standard deviation calculators.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
## generate random lognormal data
d <- rlnorm(500,meanlog=0,sdlog=1)
# d has a mean on log scale of 0; thus, gm should be exp(0)~=1
# d has a sd on log scale of 1; thus, gsd should be exp(1)~=2.7
geomean(d)
geosd(d)
## Not run:
## Demonstrate handling of zeros and negative values
x <- seq(-1,5)
# this will given an error
geomean(x)
# this will only give a warning, but might not be what you want
geomean(x,zneg.rm=TRUE)
## End(Not run)
``` |

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