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
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