nb {radiant.model} | R Documentation |
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()
[Package radiant.model version 1.6.6 Index]