Displaying 20 results from an estimated 10000 matches similar to: "Strange R/party behaviuor in CentOS"
2011 Feb 22
0
cforest() and missing values (party package)
Dear mailing list,
I am using the cforest() method from the party package to train a
randomForest with ten input parameters which sometimes contain "NA"s.
The predicted variable is a binary decision. Building the tree works
fine without warnings or error messages, but when using the predict()
statement for validation, I run in an error:
forest <- cforest(V31 ~ V1+V2+V3,
2013 Feb 14
1
party::cforest - predict?
What is the function call interface for predict in the package party for
cforest? I am looking at the documentation (the vignette) and ?cforest and
from the examples I see that one can call the function predict on a cforest
classifier. The method predict seems to be a method of the class
RandomForest objects of which are returned by cforest.
---------------------------
> cf.model =
2011 Oct 17
0
Party package: varimp(..., conditional=TRUE) error: term 1 would require 9e+12 columns (fwd)
>
> I would like to build a forest of regression trees to see how well some
> covariates predict a response variable and to examine the importance of
> the
> covariates. I have a small number of covariates (8) and large number of
> records (27368). The response and all of the covariates are continuous
> variables.
>
> A cursory examination of the covariates does not
2011 Oct 14
1
Party package: varimp(..., conditional=TRUE) error: term 1 would require 9e+12 columns
I would like to build a forest of regression trees to see how well some
covariates predict a response variable and to examine the importance of the
covariates. I have a small number of covariates (8) and large number of
records (27368). The response and all of the covariates are continuous
variables.
A cursory examination of the covariates does not suggest they are correlated
in a simple fashion
2011 Oct 06
0
Fwd: Re: Party extract BinaryTree from cforest?
> ---------- Forwarded message ----------
> Date: Wed, 5 Oct 2011 21:09:41 +0000
> From: Chris <christopher.a.hane at gmail.com>
> To: r-help at stat.math.ethz.ch
> Subject: Re: [R] Party extract BinaryTree from cforest?
>
> I found an internal workaround to this to support printing and plot type
> simple,
>
> tt<-party:::prettytree(cf at ensemble[[1]],
2012 Dec 11
2
VarimpAUC in Party Package
Greetings! I'm trying to use function varimpAUC in the party package (party_1.0-3 released September 26th of this year). Unfortunately, I get the following error message:
> data.cforest.varimp <- varimpAUC(data.cforest, conditional = TRUE)
Error: could not find function "varimpAUC"
Was this function NOT included in the Windows binary I downloaded and installed? Could someone
2012 Dec 06
0
Package party Error in model.matrix.default(as.formula(f), data = blocks) :allocMatrix: too many elements specified
Dear all:
I¡¯m trying to get unbiased feature importance of my data via package ¡°party¡±, which contains 1-5 integer value, and a few numeric values attributes. The class label is 1-5 integer value as well. In total I have 20 features with 1100 observations. I checked the type my data in R using class(my_data_cell), no factor has been observed. I received a commond error like others did
2011 Jul 20
0
cforest - keep.forest = false option? (fwd)
> ---------- Forwarded message ----------
> Date: Mon, 18 Jul 2011 10:17:00 -0700 (PDT)
> From: KHOFF <kuphoff at gmail.com>
> To: r-help at r-project.org
> Subject: [R] cforest - keep.forest = false option?
>
> Hi,
>
> I'm very new to R. I am most interested in the variable importance
> measures
> that result from randomForest, but many of my predictors
2011 Jul 18
0
cforest - keep.forest = false option?
Hi,
I'm very new to R. I am most interested in the variable importance measures
that result from randomForest, but many of my predictors are highly
correlated. My first question is:
1. do highly correlated variables render variable importance measures in
randomForest invalid?
and 2. I know that cforest is robust to highly correlated variables,
however, I do not have enough space on my
2006 Feb 24
0
New `party' tools
Dear useRs,
Version 0.8-1 of the `party' package will appear on CRAN and its mirrors
in due course. This version implements two new tools:
o `mob', an object-oriented implementation of a recently suggested
algorithm for model-based recursive partitioning (Zeileis, Hothorn,
Hornik, 2005) has been added. It works out of the box for partitioning
(generalized) linear
2017 Nov 18
0
Using cforest on a hierarchically structured dataset
Hi,
I am facing a hierarchically structured dataset, and I am not sure of
the right way to analyses it with cforest, if their is one.
- - BACKGROUND & PROBLEM
We are analyzing the behavior of some social birds facing different
temperature conditions.
The behaviors of the birds were recorder during many sessions of 2 hours.
Conditional RF (cforest) are quite useful for this analysis
2011 Apr 13
3
Problem with dyn.load in R 2.13.0
I have a test directory for the survival suite, and dyn.load has ceased
to work in it. Below shows the log:
tmt1075% R --vanilla
R version 2.12.2 (2011-02-25)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-unknown-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain
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
2011 Apr 22
1
histogram of dates
I can't seem to get a histogram of dates:
tmt910% R --vanilla
R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
...
> temp <- as.Date(1:200, origin="1970/01/01")
> range(temp)
[1] "1970-01-02" "1970-07-20"
> hist(temp)
Error in .Internal(inherits(x, what, which)) : 'x' is missing
2011 May 02
1
Problems with Rterm 2.13.0 - but not RGui
Hi all,
I have just installed R 2.13.0 and I am experiencing problems with the terminal, but not the with the GUI interface.
I am Windows 7.
When running "R" or "Rterm" from a commandline I receive the following:
Warning message:
In normalizePath(path.expand(path), winslash, mustWork) :
path[3]="C:/Programmer/R/R-2.13.0/library": Adgang n?gtet
R version 2.13.0
2007 Feb 05
0
Help with party package
I am just starting to experiment with the party package and I am getting
strange results. In the examples, the "statistic" and "criterion" seem
related, i.e. criterion is a 1-p.value and statistic is the test
statistic. Higher statistics are associated with higher criteria
values. When I run these models on my own dataset, the highest
statistic ends up getting a 0.00
2012 Oct 11
0
Error with cForest
All --
I have been trying to work with the 'Party' package using R v2.15.1 and have cobbled together a (somewhat) functioning code from examples on the web. I need to run a series of unbiased, conditional, cForest tests on several subsets of data which I have made into a loop. The results ideally will be saved to an output file in matrix form. The two questions regarding the script in
2009 Nov 19
0
strange crashes caused by 'cairoDevice' and 'tcltk' dialogues
Dear developers
I get some strange crashes when 'cairoDevice' and 'tcltk' are both
loaded in the same R vanilla session.
When executing the following in that order
require(relimp)
require(cairoDevice)
showData (iris)
I get a crash with the following message (see R-relimp-cairoDevice.txt):
The program 'R' received an X Window System error.
This probably reflects a bug in
2012 Apr 29
1
CForest Error Logical Subscript Too Long
Hi,
This is my code (my data is attached):
library(languageR)
library(rms)
library(party)
OLDDATA <- read.csv("/Users/Abigail/Documents/OldData250412.csv")
OLDDATA$YD <- factor(OLDDATA$YD, label=c("Yes", "No"))?
OLDDATA$ND <- factor(OLDDATA$ND, label=c("Yes", "No"))?
attach(OLDDATA)
defaults <- cbind(YD, ND)
set.seed(47)
data.controls
2013 Feb 03
3
RandomForest, Party and Memory Management
Dear All,
For a data mining project, I am relying heavily on the RandomForest and
Party packages.
Due to the large size of the data set, I have often memory problems (in
particular with the Party package; RandomForest seems to use less memory).
I really have two questions at this point
1) Please see how I am using the Party and RandomForest packages. Any
comment is welcome and useful.