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...2 minor 0.0 year 2004 month 10 day 04 language R > Then I check: http://cran.r-project.org/bin/windows/contrib/checkSummaryWin.html package gregmisc only warning on R-1.9.1 not R-2.0.0 Best regards, xiyanlon

...each variables. I know how to count for variable x2 and x3 and make barplot for x2 and x3, but I don't know how to count data in variable x1. Are there any trick how to count data in variable x1? The result maybe like: x1 1 9 2 6 3 2 4 4 5 8 x2 1 5 2 5 x3 1 4 2 6 Thank you for any help. Xiyanlon

Dear all, I want to summary and count my data something like > te.Ce [,1] [,2] [1,] -1 0.05 [2,] 1 0.05 [3,] 1 0.00 [4,] 0 0.05 [5,] -1 0.00 [6,] 0 0.10 [7,] 1 0.10 [8,] -1 0.00 [9,] -1 0.10 [10,] 0 0.05 [11,] 0 0.10 [12,] -1 0.10 [13,] 1 0.00 [14,] -1 0.05 [15,] 1 0.00 How could I count (summary) all my data which I need the result like

Dear All, I have a model to predict time series data for example: data(LakeHuron) Lake.fit <- arima(LakeHuron,order=c(1,0,1)) then the function predict() can be used for predicting future data with the model: LakeH.pred <- predict(Lake.fit,n.ahead=5) I can see the result LakeH.pred$pred and LakeH.pred$se but I did not see residual in predict function. If I have a model: [\ Z_t =

Dear useR again, How can I read a dataset if lines in dataset did not have same elements (have different lengths), For example: 1 2, 4, 16, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 2 2, 13, 5, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 3 4, 5, 11, 1, 1, 6, 1, 1, 5, 14, 1, 1, 15, 1, 1 4 2, 5, 9, 1, 1, 14, 1, 1, 8, 16, 1, 1, 13, 1, 1 5 3, 7, 14, 1,

Dear UseR I have a dataset, for instance x1(A, B, C), x2(M,F), x3(X1,X2,X3,X4) and x4(W,F,P). I want to make a small dataset with the random tuple. I know package e1071 can handle a random discrete, > library(e1071) > x1 <- rdiscrete(6, c(2,2,2), c("A","B","C")) > x2 <- rdiscrete(6, c(3,3), c("M","F")) > x3 <-

Are there any packages to handle multi-class classification with boosting. I know adaboost function include in package "boost" but that is only for two-class. Thanks for your help. Xiyan Lon

Dear all, I have a script about iteration classification, like this below data(iris) N <- 5 ir.tr.iter <- vector('list',N) ir.tr <- vector('list',N) for (j in 1:N) { ir.tr[[j]] <- rpart(Species ~., data=iris) ir.tr.iter[j] <- ir.tr[[j]]$frame result <- list(ir.tr=ir.tr, ir.tr.iter=ir.tr.iter) } as.data.frame(as.matrix(ir.tr.iter))

Dear R-Helper, I want to know how I get a list work which I saved in RData file. For example, > test.xy <- function(x,y) { + xy <- x+y + xy + } > > xyadd <- test.xy(x=2, y=3) > xyadd [1] 5 > x1 <- c(2,43,60,8) > y1 <- c(91,7,5,30) > > xyadd1 <- test.xy(x=x1, y=y1) > xyadd1 [1] 93 50 65 38 > save(list = ls(all=TRUE), file =