tables: Browse Tables of Naive Bayes Classifier

In naivebayes: High Performance Implementation of the Naive Bayes Algorithm

Description

Auxiliary function for "naive_bayes" and "*_naive_bayes" objects for easy browsing tables.

Usage

tables(object, which = NULL)

Arguments

object	object of class inheriting from: "naive_bayes" and "*_naive_bayes".
which	tables to be showed (all by default). This can be any valid indexing vector or vector containing names of variables.

Details

Default print method for "naive_bayes" and "*_naive_bayes" objects shows at most five first tables. This auxiliary function tables returns by default all tables and allows easy subsetting via indexing variables.

Value

list with tables.

Author(s)

Michal Majka, [e-mail]

See Also

naive_bayes, bernoulli_naive_bayes, multinomial_naive_bayes, poisson_naive_bayes, gaussian_naive_bayes, tables, get_cond_dist

Examples

data(iris)
nb <- naive_bayes(Species ~ ., data = iris)
tables(nb, "Sepal.Length")
tables(nb, c("Sepal.Length", "Sepal.Width"))
tabs <- tables(nb, 1:2)
tabs
tabs[1]

Example output

$Sepal.Length
            
Sepal.Length    setosa versicolor virginica
        mean 5.0060000  5.9360000 6.5880000
        sd   0.3524897  0.5161711 0.6358796

$Sepal.Length
            
Sepal.Length    setosa versicolor virginica
        mean 5.0060000  5.9360000 6.5880000
        sd   0.3524897  0.5161711 0.6358796

$Sepal.Width
           
Sepal.Width    setosa versicolor virginica
       mean 3.4280000  2.7700000 2.9740000
       sd   0.3790644  0.3137983 0.3224966

$Sepal.Length
            
Sepal.Length    setosa versicolor virginica
        mean 5.0060000  5.9360000 6.5880000
        sd   0.3524897  0.5161711 0.6358796

$Sepal.Width
           
Sepal.Width    setosa versicolor virginica
       mean 3.4280000  2.7700000 2.9740000
       sd   0.3790644  0.3137983 0.3224966

$Sepal.Length
            
Sepal.Length    setosa versicolor virginica
        mean 5.0060000  5.9360000 6.5880000
        sd   0.3524897  0.5161711 0.6358796

naivebayes documentation built on March 13, 2020, 1:31 a.m.