similar to: RandomForest Proximity Matrix

Hello everyone, I have a dataset in the following format: col1 col2 # # # # # # # # # # # # What I want to do is: loop a random sample 10 times, and for each time it is sampled I want to run a correlation between both columns. What I have so far is this: >feb <- read.csv("corr.csv") # where the dataset is for February >attach(feb) >for(i in

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Dear all, I need to do the same procedure on several files. But I don't know how to refer to the file name. Here is an example of what I am trying to do. List of files: file1(A,B,C, D1...Dn), file2(A,B,C,E1,...,En), file3(A,B,C,F1,...,Fn) Procedure I want to apply on each file: dft <- melt(df,id=c('A','B','C')) dft$X <- substr(dft$variable,1,3) dft$Y <-

Hi all, I'm working to apply a function that will generate a matrix of results only when a specific criteria is met. I want my final results to be a matrix with both the values that meet the criteria (the results of the function), and those that to do in the same positions in the matrix (the original numbers). Here's a sample of what I would like to do: t.mean.1.c <- c(-15, -20,

Greetings, I want to inquire about the memory limitations of the randomForest package. I am attempting to perform clustering analysis using RF but I keep getting the message that RF cannot allocate a vector of a given size. I am currently using the 32-bit version of R to run this analysis, are there fewer memory issues when using the 64-bit version of R? Mainly I want to be able to run RF on

Hi, I'm installing rgdal but I keep having failures because I have not been able to find a good source of information for the correct configuration settings when installing GDAL. My error from the R install.packages("rgdal") is below. Can someone point me to a good source to tell me how to set after ./configure when installing GDAL? I'd like to be able to work with raster

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in

Hi, I was reading an article recently about how google ranks results (among many other things of course) based on the proximity of the search terms in the source documents. In addition, the position of the search terms in the search query string itself is also taken into consideration when determining how important each term is. Does Xapian do something similar - at least for the first part?

Does anyone know where I might be able to download/purchase a database of US cities and their longitude/latitude coordinates? I''d like to provide a search option on a website that allows users to search by city but include cities in the surrounding area. Thanks, Carl Youngblood _______________________________________________ Rails mailing list

Lucene has a syntax "foo bar"~10 for finding foo within 10 words of bar. Does ferret support this feature? (the ~ is used for fuzzy queries) Does rdig? This could be a deal breaker for me ''cos I really need proximity searches -- Posted via http://www.ruby-forum.com/.

Hi, Can anyone tell me if the Motorola Q has its Bluetooth always on like the IPhone? I want to use the Motorola Q in a Proximity Detection setup like that described on nerdvittles.com. I know the Treo 650 does not work well since the display must be on for the bluetooth to be on and this eats power. Thanks Chuck Bunn

hello, I want to use randomForest to classify a matrix which is 331030?42,the last column is class signal.I use ? Memebers.rf<-randomForest(class~.,data=Memebers,proximity=TRUE,mtry=6,ntree=200) which told me" the error is matrix(0,n,n) set too elements" then I use: Memebers.rf<-randomForest(class~.,data=Memebers,importance=TRUE,proximity=TRUE) which told me"the error is

Hello, I am struggling to produce an MDS plot using the randomForest package with a moderately large data set. My data set has one categorical response variables, 7 predictor variables and just under 19000 observations. That means my proximity matrix is approximately 133000 by 133000 which is quite large. To train a random forest on this large a dataset I have to use my institutions high

Dear all, I am trying to calculate the proximity matrix for a data set with 16 variables and 6804 observations using random forests. I have a Pentium 4, 3.00GHz processor with 1 GB of RAM. When I use the command randomForest(data.scale,proximity=T) I get the warning message Error: cannot allocate vector of size 361675 kb Is this because I have reached the limit of what my computer is

Hi I am trying to use randomForest for classification. I am using this code: > set.seed(71) > rf.model <- randomForest(similarity ~ ., data=set1[1:100,], importance=TRUE, proximity=TRUE) Warning message: The response has five or fewer unique values. Are you sure you want to do regression? in: randomForest.default(m, y, ...) > rf.model Call: randomForest(x = similarity ~ .,

I getting "Error in matrix(0, n, n) : too many elements specified" while building randomForest model, which looks like memory allocation error. Software versions are: randomForest 4.5-25, R version 2.7.1 Dataset is big (~90K rows, ~200 columns), but this is on a big machine ( ~120G RAM) and I call randomForest like this: randomForest(x,y) i.e. in supervised mode and not requesting

Hello there, How to get the proximity matrix of new data in party package? Thanks. Joseph [[alternative HTML version deleted]]

I am attempting to use randomForests to look for interesting genes in microarray data with 216genes, 2 classes and 52 samples. My data.frame is 52x217 with the last column, V217 being the class(1 or 2). When I try lung.rf <- randomForest(V217 ~ ., data=tlSA216cda, importance= TRUE, proximity = TRUE) the GUI crashes. I am running R-1.6.2 under windo$e98, and most

Hi, I'd like to know how we can choose the distance between two words that we search in a text. I know there is an "op_near" operator but I don't know how I can specified that the number of words between the two specified words should not exceed 10 or 20 or x words. I'm really sorry for my terrible English, I hope I'm understandable!

Hi Sacha, On second thought, perhaps this is more the direction that you want ... X2 = cbind(X_train,y_train) colnames(X2)[3] = "y" regr2<-randomForest(y~x1+x2, data=X2,maxnodes=10, ntree=10) regr regr2 #Make prediction predictions= predict(regr, X_test) predictions2= predict(regr2, X_test) HTH, Eric On Tue, May 9, 2023 at 6:40?AM Eric Berger <ericjberger at gmail.com>