cv: Compute Coefficient of Variation for Normal and Log-Normal...

In anniejw6/metrumrg: Pharmacometric Tools for Data Preparation, Modeling, Simulation, and Reporting

Description

The CV for normally distributed data can be calculated as a function of variance and mean.

The CV for log-normally distributed data can be calculated as a function of the variance of the log-transformed data. See references below.

Usage

cvNormal(var,mean, ...)
cvLognormal(var, ...)

Arguments

var	variance of the normal data or log-transformed lognormal data
mean	mean of the normal data
...	ignored

Value

numeric

Author(s)

Tim Bergsma

References

http://en.wikipedia.org/wiki/Coefficient_of_variation

http://en.wikipedia.org/wiki/Log-normal_distribution#Coefficient_of_variation

http://tolstoy.newcastle.edu.au/R/help/05/12/16710.html

See Also

• percent

Examples

norm <- rnorm(10000,mean=10,sd=5)
lnrm <- rlnorm(10000,meanlog=10,sdlog=.3)
cvNormal(sd(norm)^2,mean(norm))
cvLognormal(sd(log(lnrm))^2)

anniejw6/metrumrg documentation built on May 10, 2019, 11:50 a.m.