Calculates the standard error or the mean squared error from a given CV and vice versa for log-normal data.
CV2se(CV) se2CV(se) CV2mse(CV) mse2CV(mse)
coefficient of variatio as ratio (not percent)
mean squared error (aka residual variance)
se = sqrt(log(CV^2+1))
CV = sqrt(exp(se^2)-1)
mse = log(CV^2+1)
CV = sqrt(exp(mse)-1)
These functions were originally intended for internal use only but may be useful for others.
# these functions are one liners: CV2se <- function(CV) return(sqrt(log(1.0 + CV^2))) se2CV <- function(se) return(sqrt(exp(se^2)-1)) CV2se(0.3) # should give: #  0.2935604 se2CV(0.2935604) #  0.3
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