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reference/skewness.md

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+# Skewness of the Sample
+
+Skewness is a measure of the asymmetry of the probability distribution
+of a real-valued random variable about its mean.
+
+When negative ('left-skewed'): the left tail is longer; the mass of the
+distribution is concentrated on the right of a histogram. When positive
+('right-skewed'): the right tail is longer; the mass of the distribution
+is concentrated on the left of a histogram. A normal distribution has a
+skewness of 0.
+
+## Usage
+
+``` r
+skewness(x, na.rm = FALSE)
+
+# Default S3 method
+skewness(x, na.rm = FALSE)
+
+# S3 method for class 'matrix'
+skewness(x, na.rm = FALSE)
+
+# S3 method for class 'data.frame'
+skewness(x, na.rm = FALSE)
+```
+
+## Arguments
+
+- x:
+
+  A vector of values, a [matrix](https://rdrr.io/r/base/matrix.html) or
+  a [data.frame](https://rdrr.io/r/base/data.frame.html).
+
+- na.rm:
+
+  A [logical](https://rdrr.io/r/base/logical.html) value indicating
+  whether `NA` values should be stripped before the computation
+  proceeds.
+
+## See also
+
+[`kurtosis()`](https://amr-for-r.org/reference/kurtosis.md)
+
+## Examples
+
+``` r
+skewness(runif(1000))
+#> [1] -0.01429035
+```