Calculate Shannon entropy, following Tastle and Wierman.

1 | ```
entropy(V)
``` |

`V` |
A frequency vector |

This function calculates the Shannon entropy following Tastle and Wierman (2007). A frequency vector describes the number of observations in a given category. For example, the vector [10,20,30,15,4] describes 10 observations with position 1, 20 observations with position 2, 30 observations with position 3, 15 observations with position 4, and 4 observations with position 5.

This function follows Tastle and Wierman and ignores categories with zero observations. This does not follow the formula indicated.

See `consensus`

for a function that considers the order of categories.

The function returns the Shannon entropy.

Didier Ruedin

Tastle, W., and M. Wierman. 2007. Consensus and dissention: A measure of ordinal dispersion. International Journal of Approximate Reasoning 45 (3): 531-545.

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