Hello everyone, Does anyone know what would cause the skewness() function (from e1071), as well as skew() from psych, to return a value of NaN?
I have a vector of positively-skewed data (https://docs.google.com/file/d/0B6-m45Jvl3ZmYzlHRVRHRURzbVk/edit?usp=sharing) which these functions return a value for like normal: > skewness( data ) # returns 1.400405 but when I instead give those functions the log-transformed data they return NaN > skewness( log( data ) ) #returns NaN The same occurs when I feed the function data transformed by reflected reciprocal > skewness( max(data) - 1/data ) ) #returns NaN The vector has no missing values (and if it did, I would get NA rather than NaN, and the function wouldn't return a number when I give it the raw data). Best, Steve -- Stephen Politzer-Ahles University of Kansas Linguistics Department http://people.ku.edu/~sjpa/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
