search for: v142

Hi, there: I am working on a classification problem by using rpart. when my response variable y is binary, the trees grow very fast, but if I add one more case to y, that is making y has 3 cases, the tree growing cannot be finished. the command looks like: x<-rpart(r0$V142~.,data=r0[,1:141], parms=list(split='gini'), cp=0.01) changing cp or removing parms does not help. summary($V142) gives like: > summary(r0$V142) 0 1 2 370 14 16 I am not sure if rpart can do this or there is something wrong with my approach. Please be advised. Ed

...ed data as below, the program seems to take forever. I am not sure if it is due to slowness or there is something wrong with my codes or data manipulation. Please be advised ! The data is described as the output from str() function. The call to rpart is like: library(rpart) test_tree<-rpart(x$V142 ~ ., data=x, parms=list(split='gini'), cp =0.01) the response variable is $V142, with 3 levels. Thanks for your suggestions! Ed. > str(x) `data.frame': 500 obs. of 142 variables $ V1 : int 4 4 4 4 4 4 4 4 4 4 ... $ V2 : Factor w/ 8 levels "1","2",&quot...

...<- all.data[idx,] n.each.part <- as.integer(n/n.folds) r.model<- vector() r.model.prune<- vector() for(i in 1:n.folds) { cat('Fold ',i,'\n') out.fold <- ((i-1)*n.each.part+1):(i*n.each.part) tmp<-all.data[-(out.fold),1:141] r.model[i]<- rpart(all.data$V142~., data=tmp, parms=list(split='gini'), cp=0) #r.model.prune[i]<-prune(r.model[i], cp=mcp) } return (r.model) }

...0, V91, V92, V93, V94, V95, V96, V97, V98, V99, V100, V101, V102, V103, V104, V105, V106, V107, V108, V109, V110, V111, V112, V113, V114, V115, V116, V117, V118, V119, V120, V121, V122, V123, V124, V125, V126, V127, V128, V129, V130, V131, V132, V133, V134, V135, V136, V137, V138, V139, V140, V141, V142, V143, V144, V145, V146, V147, V148, V149, V150, V151, V152, V153, V154, V155, V156, V157, V158, V159, V160, V161, V162, V163, V164, V165, V166, V167, V168, V169, V170, V171, V172, V173, V174, V175, V176, V177, V178, V179, V180, V181, V182, V183, V184, V185, V186, V187, V188, V189, V190, V191, V192...

...data manipulation. > >>> > >>>Please be advised ! > >>> > >>>The data is described as the output from str() function. The call to > >>>rpart is like: > >>> > >>>library(rpart) > >>>test_tree<-rpart(x$V142 ~ ., data=x, > >>>parms=list(split='gini'), cp =0.01) > >>> > >>>the response variable is $V142, with 3 levels. > >>> > >>>Thanks for your suggestions! > >>> > >>>Ed. > >> > >>[snip] > &...

...uot;v127" "v128" "v129" "v13" "v130" "v131" "v132" [39] "v133" "v134" "v135" "v136" "v137" "v138" "v139" "v14" "v140" "v141" "v142" "v143" "v144" "v145" "v146" "v147" "v148" "v149" "v15" [58] "v150" "v151" "v152" "v153" "v154" "v155" "v156" "v157" "v158&quo...

I?m sorry, in my last email I forgot to attach the data I?m using wich is a matrix of 175x175 filled with 0?s and 1?s 0 is the sea 1 is the continental land The script is area.r Thank you very much. Carlos L?pez -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. -------------- next part -------------- An embedded and

hi, I have problem in following code, error is occurred. I have attached my data herewith. and my code is as following, > library(lars) Loaded lars 0.9-8 Warning message: package 'lars' was built under R version 2.12.2 > x<- read.table("D:/spring '11/james reggression/NewFeature.txt") > y<-read.table("D:/spring '11/lars/RFU.txt") > out<-