[R] handling big data set in R

Hello R users, I'm wondering whether it is possible to manage big data set in R? I have a data set with 3 million rows and 3 columns (X,Y,Z), where X is the group id. For each X, I need to run 2 regression on the submatrix. I used the function split: datamatrix-read.csv(datas.csv, header=F,

[R] handling big data set in R

Hello R users, I'm wondering whether it is possible to manage big data set in R? I have a data set with 3 million rows and 3 columns (X,Y,Z), where X is the group id. For each X, I need to run 2 regression on the submatrix. I used the function split: datamatrix-read.csv(datas.csv, header=F,

[R] barplot and pca plot in mvpart

Hello, I'm using the R package called mvpart, which is about the multivariate regression trees. The function I wrote is: mrt1- mvpart(coefmat~sChip+sScreen+sMem,data=mixdata, xv=pick,

[R] barplot and pca plot in mvpart/rpart

Hello, I'm using the R package called mvpart, which is about the multivariate regression trees. The function I wrote is: mrt1- mvpart(coefmat~sChip+sScreen+sMem,data=mixdata, xv=pick,

[R] controlling for number of elements in each node of the tree in mvpart

Still about the mvpart. Is there any way I can control for the number of elements in each node in the function mvpart? Specifically, how can I ask partition to ignore node with elements less than 10? Thanks! -Shu __ R-help@r-project.org mailing list