Displaying 6 results from an estimated 6 matches for "jdanielnd".
2011 Oct 07
2
Merge dataframes
Hello,
I am having some problems to use the 'merge' function. I'm not sure if I got
its working right.
What I want to do is:
1) Suppose I have a dataframe like:
height width
1 1.1 2.3
2 2.1 2.5
3 1.8 1.9
4 1.6 2.1
5 1.8 2.4
2) And I generate a second
2011 Mar 24
1
Ctree Model Variables
Hello!
I am not familiar to deal with S4 objects in R, so this question can be
stupid, but I hope I can get an answer. :P
I'm trying to extract what are the response and explanatory variables from a
Binary Tree and Random Forest.
I could already extract the response variable from a Binary Tree using the
response method specified on documentation. But Random Forest didn't had a
similar
2009 Aug 03
1
Open data-file in R - from Rserve
How can I open a data file from the client on the RServe server using Java?
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2009 Aug 03
1
RServe - How to use 'createReference' method?
I need to input a txt, or xls, file from a client to R, using RServe.
>From what I've been reading, the best way to do this, is using the
'createReference' method, from REngine package.
But I couldn't find any documents exemplifying it's use. I got to upload a
file from java? And then? How do i refeer the file to this method?
Best Regards,
J. Daniel
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2011 Jun 13
0
Strange R/party behaviuor in CentOS
Hello,
I'm facing a strange behaviour when I try to run predict function for a
cforest model from party package in CentOS.
It works OK on MacOSX and Ubuntu, but R process is killed when I try it on
CentOS.
I read a dataframe and generate a forest model using cforest from party
package. To reduce computation for the tests I'm running the forest model
with 2 (two) trees only. So I believe
2011 Feb 07
5
"Where" command in ctree (party)
Hello,
I need to classify (i.e., export a vector with terminal node id's) new cases
using a ctree (party package) model based on different cases (learning
sample).
I tried the where command with the following syntax:
> where(tree, newdata=data2)
expecting to get terminal nodes of data2 cases based on rules of tree model
(data1 as learning sample). However it returned the following error