asymptotic_test2 {cvequality} | R Documentation |
Asymptotic test for the equality of coefficients of variation from k populations, using summary statistics when raw measurement data are not available.
Description
Test for k samples (k sample populations with unequal sized) from Feltz CJ, Miller GE (1996) An asymptotic test for the equality of coefficients of variation from k population. Stat Med 15:647–658
Usage
asymptotic_test2(k, n, s, x, seed)
Arguments
k |
a numeric vector the number of groups |
n |
a numeric vector the numer of measurements in each group |
s |
a numeric vector the standard deviation of each group |
x |
a numeric vector the mean of each group |
seed |
optional, an integer that is the starting point used in the generation of a sequence of random numbers. Include a seed if you want reproducible output. |
Value
a list with the test statistic and p-value
Examples
# Summary stats from Feltz and Miller 1996
miller <- data.frame(test = c('ELISA', 'WEHI', '`Viral inhibition`'),
Mean = c(6.8, 8.5, 6.0),
CV = c(0.090, 0.462, 0.340),
N = c(5, 5, 5))
# compute SD from mean and cv
miller$SD <- with(miller, CV * Mean)
asymptotic_test2(k = nrow(miller), n = miller$N, s = miller$SD, x = miller$Mean)
[Package cvequality version 0.2.0 Index]