[R] suppress output from step function

Dear all, Is there a way of using the step function on a linear model such that all the steps are not printed out? Say I have a matrix X of 50 explanatory variables and a binary response Y. linear_model-glm(Y~X, data=my_data, family=binomial) SS-step(linear_model) This last step produces all

[R] Re : Running random forest using different training and testing schemes

Hi Chysanthi, check out the randomForest package, with the function randomForest. It has a CV option. Sorry for not providing you with a lengthier response at the moment but I'm rather busy on a project. Let me know if you need more help. Also, to split your data into two parts- the training

[R] Re : Running random forest using different training and testing schemes

you need to include in your code something like: tree-rpart(result~., data, control=rpart.control(xval=10)). this xval=10 is 10-fold CV. Best, Pierre De : Chrysanthi A. chrys...@gmail.com À : r-help@r-project.org Envoyé le : Dimanche, 12 Avril 2009, 17h26mn

[R] subscript out of bounds in eqscplot problem

Dear R users, I have the following problem. Suppose I have the following toy data set: data m1 m2 m3 m4 m5 state [1,] 1 0 1 13 23 2 [2,] 0 1 0 23 94 2 [3,] 1 0 0 45 56 1 [4,] 0 1 0 35 84 2 [5,] 1 1 0 98 37 1 [6,] 1 1 0 68 1 2 where the