Nothing

```
# Test of fit for the gamma distribution based on the ratio of two variance estimators
gamma_test <- function(x){
DNAME <- deparse(substitute(x))
if (!is.numeric(x) & length(x) <= 1) stop(paste(DNAME, "must be a numeric vector containing more than 1 observation"))
x <- x[!is.na(x)]
if (sum(is.na(x)) > 0) warning("NA values have been deleted")
x <- as.vector(x)
samplerange <- max(x) - min(x)
if (samplerange == 0) stop("all observations are identical")
if ( min(x) < 0 ) stop("The dataset contains negative observations. \nAll data must be non-negative real numbers.")
n <- length(x) # adjusted sample size without NA values
z <- log(x)
x.bar <- mean(x)
s2.x <- var(x)
b.check <- cov(x, z)
a.check <- x.bar / b.check
v <- sqrt(n * a.check) * (s2.x / (x.bar * b.check) - 1)
p.value <- 2 * pnorm(abs(v), mean = 0, sd = sqrt(2), lower.tail = FALSE)
alternative = c( paste(DNAME, " does not follow a Gamma distribution."))
results <- list(statistic = c("V" = v), p.value = p.value, data.name = DNAME,
method = "Test of fit for the Gamma distribution")
class(results) = "htest"
return(results)
}
```

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