View source: R/tidyDiscreteEntropy.R
calculateDiscreteEntropy_Histogram | R Documentation |
see: R. de Matos Simoes and F. Emmert-Streib, “Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks,” PLoS One, vol. 6, no. 12, p. e29279, Dec. 2011 [Online]. Available: http://dx.doi.org/10.1371/journal.pone.0029279
calculateDiscreteEntropy_Histogram( df, groupVars, countVar = NULL, mm = TRUE, ... )
df |
- may be grouped, in which case the grouping is interpreted as different types of discrete variable |
groupVars |
- the columns of the discrete value quoted by the vars() function (e.g. ggplot facet_wrap) |
mm |
- Apply a miller-madow adjustment to the result |
a dataframe containing the disctinct values of the groups of df, and for each group an entropy value (H). If df was not grouped this will be a single entry
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