nb: Naive Bayes using e1071::naiveBayes

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Naive Bayes using e1071::naiveBayes

Description

Naive Bayes using e1071::naiveBayes

Usage

nb(
  dataset,
  rvar,
  evar,
  laplace = 0,
  data_filter = "",
  arr = "",
  rows = NULL,
  envir = parent.frame()
)

Arguments

dataset	Dataset
rvar	The response variable in the logit (probit) model
evar	Explanatory variables in the model
laplace	Positive double controlling Laplace smoothing. The default (0) disables Laplace smoothing.
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
arr	Expression to arrange (sort) the data on (e.g., "color, desc(price)")
rows	Rows to select from the specified dataset
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/model/nb.html for an example in Radiant

Value

A list with all variables defined in nb as an object of class nb

See Also

summary.nb to summarize results

plot.nb to plot results

predict.nb for prediction

Examples

nb(titanic, "survived", c("pclass", "sex", "age")) %>% summary()
nb(titanic, "survived", c("pclass", "sex", "age")) %>% str()

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.