Hello. At the company I work for, I recently requested having R loaded onto
my desktop and some of my colleagues.
My company's IT/Security groups are having trouble assessing whether R
software meets their standards.
Can anyone point me to a source where i can read about how R us
Hello. I have used the "party" package to generate a regression tree as
follows:
>origdata<-read.csv("origdata.csv")
>ctrl<-ctree_control(mincriterion=0.99,maxdepth=10,minbucket=10)
>test.ct<-ctree(Y~X1+X2+X3,data=origdata,control=ctrl)
The above works fine. Orig data was my
Hello all.
I have been teaching myself how to use recursive partitioning in R,
particularly using the "party" package.
Now that i've generated some trees, i would like to understand how i would
go about validating the goodness of fit/accuracy, etc..., of the trees. What
func
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and provide commented, minimal, self-contained, reproducible code.
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
I have run the ctree function, and my dependent variable is broken into 3
categories: low cost, moderate cost and high cost.
When i plot the results (eg. using plot(test.ct)), the plot shows, at the
very bottom of each node, the probability of falling into each cost
category.
I am running the ctree function in R.
My data has about 10 variables, many of which are categorical. 2 of the
categorical variables have many levels (one has 900 levels, another has
1,000 levels). As an example, 1 of these variables is disease code and is
structured as A, B, C,
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