search for: ytypes

Hi R helpers! I'm still a bit ( alot) confused by the use of "inverseTrans" and "ytype" in areg.boot (Hmisc): What I want to do seems very simple, but I do not get the result I want: plot the predicted values in the original scale. (I did not understand the documentation, sorry!) for instance the following code

I am trying to implement a simple r-svm example using the iris data (only two of the classes are taken and data is within the code). I am running into some errors. I am not an expert on svm's. If any one has used it, I would appreciate their help. I am appending the code below. Thanks../Murli ####################################################### ### R-code for R-SVM ### use leave-one-out

...s reason for that: Y was not changed, and more specifically, Y$V2 was not changed, so no change was made to the variable types. It all makes sense, but I want an easy way to maintain the structure of a data frame when I do this kind of operation. I ought to be able to do something like this: Ytypes <- get_types(Y) Y[is.na(Y)] <- X[is.na(Y)] use_types(Y, Ytypes) That kind of system would ensure that the basic structure of the data frame can be maintained. I don't want to have to check by hand, and sometimes it would be impossible to do so. So what's the trick? Is there a...

Hello everybody, I'm a new user of R and I'm working right now with the ACE function from the acepack library. I Have a question: Is there a way to predict new responses using ACE? What I mean is doing something similar to the following code that uses PPR (Projection Pursuit Regression): library(MASS) x <- runif(20, 0, 1) xnew <- runif(2000, 0, 1) y <- sin(x) a <- ppr(x, y,