search for: cube_root

...9 * a)) In R, the cube root (or any non-integral power) of a negative real number is NaN and ((1 - 2/a)/(1 + xx * sqrt(2/(a - 4)))) is c. -928 in this example. I think the intent was for the cube root to be a negative real, c. -9.76, in this case. If that is the intent, then a fix is to define a cube_root function for reals cube_root <- function (x) sign(x) * abs(x)^(1/3) and change the z<-... line to use cube_root() instead of ^(1/3). z <- (1 - 2/(9 * a) - cube_root(((1 - 2/a)/(1 + xx * sqrt(2/(a - 4))))))/sqrt(2/(9 * a)) -Bill On Thu, Oct 15, 2020 at 3:15 PM Sania Wadud <sania...

Hi Bill, Thanks for prompt reply and letting me know a way around it. I have more than 1200 observations and not all the values are the same. However, my data points are quite similar, for example, 0.079275, 0.078867, 0.070716 in millions and etc. I have run the data without converting it to millions and I still get the same error message. As I have kurtosis value, it should be fine for the

moments::anscombe.test(x) does give errors when x has too few values or if all the values in x are the same > moments::anscombe.test(c(1,2,6)) Error in if (pval > 1) pval <- 2 - pval : missing value where TRUE/FALSE needed > moments::anscombe.test(c(2,2,2,2,2,2,2,2)) Error in if (pval > 1) pval <- 2 - pval : missing value where TRUE/FALSE needed You can use tryCatch() to