Hello,
I use asRules from the Rattle package to make rules of a rpart decision tree:
asRules(rpart1). It gives a rule such as (don't mind the data, it's merely
testdata):
Rule number: 18 [Product=153 cover=3 (1%) prob=0.00]
TotalChildren>=4.5
Education=Bachelors,Partial College,Parti
Hi all,
In the attachment or this link (http://oi58.tinypic.com/35ic9qc.jpg) you'll
find the decision tree I made. I used the Rpart package to make the tree and
the rattle package using the fancyRpartPlot to plot it. The data in the tree
looks different than about every example I have seen bef
Hello all,
I'm making a decision tree with the rpart package. I want to prune the tree and
in many tutorials it says to use cptable. Like so: opt <-
which.min(model_rpart$cptable[, "xerror"])
The problem is that when I look up model_rpart$cptable it only show the columns
CP, nsplit, rel error.
Hi everyone,
I try making decision trees and random forest using the packages rpart and
party. I'm already stuck at t he first step. Each time when I enter the code
either 1. R takes more than an hour. I haven't waited long enough to see if
there's a result but it doesn't look like it! When I
Additionally, maybe it's interesting to note that I remember that I first also
tried the apriori function but with support = 0.001 (the rest remains the
same). It gave me the negative length vector error as well but then I thought
to update the packages and it seemed like it worked because the
If the email is still unreadable, please look at the attachment
email.txt. Dear Martin,Thanks for your fast reply. Sorry about
the formatting of the previous email. I actually tested it before sending and
it came fine when sending to my own account but when I send it to the r-help
email address
Hi all, I have a question concerning an error that occurs when using the
inspect() function on a set of rules made by the apriori function from the
arules package. I have a dataset with 12 million records. It contains some
basic sales information (such as product, customer data). I want to use t
Sorry, I see that the formatting of the e-mail went all wrong and was
completely unreadable. you can find a readable version in the attachment and
down below (if it will work this time).
--
Hi all,
I have a question about the arules packag
Hi all, I have a question about the arules package in R. I hope the example
tables are readable in your email, otherwise you can view it in the
question.txt in the attachment.Within the apriori function in the arules
package, I want the outcome to only contain these two variables in the LHS
Hou
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