similar to: rfImpute (for randomForest) crashed

I am having trouble with the rfImpute function in the randomForest package. Here is a sample... clunk.roughfix<-na.roughfix(clunk) > > clunk.impute<-rfImpute(CONVERT~.,data=clunk) ntree OOB 1 2 300: 26.80% 3.83% 85.37% ntree OOB 1 2 300: 18.56% 5.74% 51.22% Error in randomForest.default(xf, y, ntree = ntree, ..., do.trace = ntree, : NA not

Dear Administrator, I am using linux (suse 10.2). While attempting rfImpute, I am getting the following error message: > Members <- rfImpute(Status ~ ., data = Members) Error in .C("classRF", x = x, xdim = as.integer(c(p, n)), y = as.integer(y), : C symbol name "classRF" not in DLL for package "randomForest". I need the help to sort out above error.

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I tried rfImpute (randomForest) and as far as I understood should it replace NA`s using a proximity matrix: > set.seed(100000) > Subset5Imputed<-rfImpute(Sex~., data=Subset5) ntree OOB 1 2 300: 11.78% 12.36% 11.21% ntree OOB 1 2 300: 12.07% 12.64%

Hello everybody, this is my first request about R so I am sorry if I send it to a bad mail or if I am not very clear. So my problem is about the use of rfImpute from randomForest package. I am interested in imputations of missing values and I read that randomForest can make it. So i write the following code : set.seed(100); library(mlbench) library(randomForest) data(BreastCancer)

A few days ago I asked whether there were options other than na.action=na.fail for the R port of Breiman?s randomForest; the function?s help page did not say anything about other options. I have since discovered that a pdf document called ?The randomForest Package? and made available by Andy Liaw (who made the tool available in R---thank you) does discuss an option. It is an implementation of

Does anyone know a reason why, in principle, a call to randomForest cannot accept a data frame with missing predictor values? If each individual tree is built using CART, then it seems like this should be possible. (I understand that one may impute missing values using rfImpute or some other method, but I would like to avoid doing that.) If this functionality were available, then when the trees

I have a question regarding NA in randomForest (in R). I have a dataset which include both numerical and non-numerical variables, and the data includes some NA. I tried to use na.roughfix but then i get an error message "na.roughfix only works for numeric or factor". I also tried rfImpute but this does not work either because I have some NA in my response variable. Does anyone have som

Hi all, I am using the package "random forest" for random forest predictions. I like the package. However, I have fairly large data sets, and it can often take *hours* just to go through the "na.roughfix" call, which simply goes through and cleans up any NA values to either the median (numerical data) or the most frequent occurrence (factors). I am going to start

I'm having a weird problem with length(), in R1.6.1 under windows2000. I have a dataframe called byyr, with ten columns, the first of which is named cnd95. summary(byyr) shows that byyr$cnd95 contains the factor level "tr" 66 times. Also, when I enter byyr$cnd95 at the command line, I can count 66 "tr" elements in the resulting vector. However, when I enter n95trt <-

I have a set of timestamp data that I have in a text file that I would like to import into R for analysis. The timestamps are formated as follows: DT_1,DT_2 [2006/08/10 21:12:14 ],[2006/08/10 21:54:00 ] [2006/08/10 20:42:00 ],[2006/08/10 22:48:00 ] [2006/08/10 20:58:00 ],[2006/08/10 21:39:00 ] [2006/08/04 12:15:24 ],[2006/08/04 12:20:00 ] [2006/08/04 12:02:00 ],[2006/08/04 14:20:00 ] I can get

I can't get identify to work, using R 2.0.1 under windows xp pro, service pack 2. Here's what I enter, and the result: > plot((our.frame2$c1),(our.frame2$c9)) # Produces desired plot > identify(our.frame2$c1) # Plot comes to forefront, so I select a point warning: no point with 0.25 inches numeric(0) Is my call to identify correct? The help page for indentify (from

Hi, In R, how to do missing value replacement for test data in randome forest in the way Breiman decribed. thanks in advance iris

I'm using R in a statistics class, and when I project the console, the font is smaller than ideal. I've checked the faq's, the manual, and the help system as best I can, and I don't see how to change the font size. Can it be changed from within a session, or will I have to ask the folks who installed the program on the server I use in classes to set it (assuming that can be

I'm using R 2.0.1 in a class I teach, with most students working under windows XP. We have a data frame with the first column containing the factor "site," and five water-quality variables at each site. As one part of exploring these data, I'd like the students to run by(ourdata,site,pairs). When I try that, however, the pairs plots for the first 10 sites scroll past, and

After entering ?library(rpart)?, I tried to plot an existing rpart tree, and got this error message: Error: couldn't find function "plot.rpart". However, ??plot.rpart? does bring up the help for the function. The same things occur for text.rpart, although print(my.tree) does work. So, I tried to re-install rpart using Packages | Install from CRAN, but then I get this

I've looked every way I can think of for help on trellis.datasets, but nothing comes up for me. Please help me find information on what is included, and how to get at those data. Thanks. Dave Parkhurst

Greetings: I am trying to work with spdep (everything is "brand new" downloaded this morning). OS = Windows 2000 (also up to date). The code I am using follows: #example gal.county=read.geoda("lnpilnd.GAL", row.names=NULL, skip=0) summary.nb(gal.county) Error in summary.nb(gal.county) : Not a neighbours list #end The gal file works just fine in GeoDa (also up to date).

Greetings: I would like to make a table with descriptive statistics for a data.frame. I guess the question is how can I put together, in a table, the results from, say: apply(df, 2, mean, na.rm =T) apply(df, 2, median, na.rm =T) ....... Thanks, Mihai Nica Jackson State University 155 B Parkhurst Dr. Jackson, MS 39202 601 969 5423 601 914 0361 [[alternative HTML version deleted]]

With the problem below, I've discoved that n95trt<-length(byyr$cnd95[byyr$cnd95=="tr"&!is.na(byyr$cnd95)]) does give me the correct count for the number of "tr" entries. (The same behavior occurs for the "c" level of the cnd95 factor.) It appears that byyr$cnd95=="tr" is finding both "tr" AND NA entries. Is this a bug, or is it to be

The help page for randomForest shows na.action=na.fail as a parameter, and does not describe other possibilities for na.action. I have a regression problem, with about 1000 rows in my data frame, and with an NA in occasional predictor variables, in about 5% of rows. I would like to have all rows included in the analysis, to the extent possible. (That seems to be possible in rpart, for example.)