[R] How to do Naive Bayes in R?

[spencerg]

      help.search('bayes') only searches installed packages. 

      To go beyond that, you might try the following: 


library(RSiteSearch)

bayes <- RSiteSearch.function('bayes', 999)
summary(bayes)
# This produces a Parato analysis of packages in terms of references
# to the search term in their help pages. 
# In this example, it does NOT find 'e1071'. 

n.b <- RSiteSearch.function('naive Bayes')
HTML(n.b)
# This displays a table in a web browser sorted by package and "Score"
# with links to the help pages via the web. 


      Beyond this, "www.r-project.org -> Documentation:  Books" provides 
a list of books about various aspects of R, including several references 
to "Bayes". 


      Hope this helps. 
      Spencer


Dylan Beaudette wrote:
> On Wednesday 06 May 2009, Tim LIU wrote:
>   
>> I am wondering if anybody here have a simple example in R for Naive
>> Bayes.
>>
>> For example, I can do k-means clustering on the "iris" data -
>>
>> data(iris)
>> cl <- kmeans(iris[,1:4], 3)
>> cl$cluster
>> cbind(1:150,iris$Species)
>>
>> ===========
>>
>> But how to do Naive Bayes classification in the same "iris" data?
>>
>> Many thanks!
>>     
>
> # start here:
> help.search('bayes')
>
> # in which you will find:
> e1071::naiveBayes
>
> # which means:
> library(e1071)
> ?naiveBayes
>
> # and compared to your example:
> cl <- kmeans(iris[,1:4], 3)
> table(cl$cluster, iris[,5])
>
> m <- naiveBayes(iris[,1:4], iris[,5])
> table(predict(m, iris[,1:4]), iris[,5])
>
> Dylan
>
>