geomCV {inTextSummaryTable} | R Documentation |
Compute geometric coefficient of variation (in a scale from 0 to 100).
Description
The geometric coefficient of variation is computed as:
\sqrt{\exp(\sigma(log(x))^2)-1}*100
, with:
log: natural logarithm
\sigma
: standard deviation
Usage
geomCV(x, na.rm = FALSE)
Arguments
x |
Numeric vector. |
na.rm |
Logical, should NA value(s) be removed (FALSE by default)? |
Value
Numeric vector of length 1 with geometric coefficient of variation.
Author(s)
Laure Cougnaud
See Also
Other stats utility functions:
cv()
,
geomMean()
,
geomSD()
,
geomSE()
,
se()
Examples
# Geometric coefficient of variation of a sample from a log normal distribution:
geomCV(rlnorm(n = 1000, meanlog = 0, sdlog = 1))
[Package inTextSummaryTable version 3.3.3 Index]