dictionary  R Documentation 
Builds the woe dictionary of a set of predictor variables upon a given binary outcome. Convenient to make a woe version of the given set of predictor variables and also to allow one to tweak some woe values by hand.
dictionary(.data, outcome, ..., Laplace = 1e06)
.data 
A tbl. The data.frame where the variables come from. 
outcome 
The bare name of the outcome variable with exactly 2 distinct values. 
... 
bare names of predictor variables or selectors accepted by

Laplace 
Default to 1e6. The 
You can pass a custom dictionary to step_woe()
. It must have the
exactly the same structure of the output of dictionary()
. One easy way to
do this is by tweaking an output returned from it.
a tibble with summaries and woe for every given predictor variable stacked up.
Kullback, S. (1959). Information Theory and Statistics. Wiley, New York.
Hastie, T., Tibshirani, R. and Friedman, J. (1986). Elements of Statistical Learning, Second Edition, Springer, 2009.
Good, I. J. (1985), "Weight of evidence: A brief survey", Bayesian Statistics, 2, pp.249270.
mtcars %>% dictionary("am", cyl, gear:carb)
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