skewness {PerformanceAnalytics}  R Documentation 
compute skewness of a univariate distribution.
skewness(x, na.rm = FALSE, method = c("moment", "fisher"), ...)
na.rm 
a logical. Should missing values be removed? 
method 
a character string which specifies the method of computation.
These are either "moment" or "fisher"
The "moment" method is based on the definitions of
skewnessfor distributions; these forms should
be used when resampling (bootstrap or jackknife). The
"fisher" method correspond to the usual "unbiased"
definition of sample variance, although in the case of skewness
exact unbiasedness is not possible.

x 
a numeric vector or object. 
... 
arguments to be passed. 
This function was ported from the RMetrics package fUtilities to eliminate a dependency on fUtiltiies being loaded every
time. The function is identical except for the addition of checkData and column support.
skewness
returns the value of the statistics, a numeric value. An
attribute which reports the used method is added.
Diethelm Wuertz
## mean  ## var  # Mean, Variance: r = rnorm(100) mean(r) var(r) ## skewness  skewness(r) data(managers) skewness(managers)