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Hi all, If I use a moving average, it will smooth the choppy time series, but it will lead to lagging... How do I smooth timeseries without the lagging effect? Thanks!

Hi all, In R GUI window, if you use "up" and "down" key, you will be able to recall the previous and next command that has been used and stored in the command history cache. But there is one inconvenience: In Matlab, you can type the first a few characters of the command that you previously used, and then press ?up" key, you will be able to get to that previous

Hi all, I am using "lm" to fit some anova factor models with interactions. The default setting for my unordered factors is "treatment". I understand the resultant "lm" coefficients for one factors, but when it comes to the interaction term, I got confused. > options()$contrasts unordered ordered "contr.treatment"

Hi all, I've got the following error message in using e1071 svm routine... Could anybody please help me? Thank you! --------------------------------- model <- svm(y=factor(mytraindata[, 1]), x=mytraindata[, -1], probability=T) Error in if (any(co)) { : missing value where TRUE/FALSE needed In addition: Warning message: In FUN(newX[, i], ...) : NAs introduced by coercion

Hi all, How do I operate R from within Excel? I mean, highlight a bunch of cells, and send to R, and do some statistics in R, and return back the numbers and do some plots in R. For example, I have some parameters for Gaussian Random variable, and I would find the most convenient way to send these numbers to R and do some plots... How to do that? Thanks a lot! -- View this message in

Hi all, I am doing some experiment studies... It seems to me that with different combination of 5 parameters, the end results ultimately converged to two scalars. That's to say, some combinations of the 5 parameters lead to one end result and some other combinations of the 5 parameters lead to the other end result (scalar). I am thinking of this is sort of something like clustering or

Hi all, Could anybody tell me what happened to my logistic regression in R? mylog=glm(mytraindata$V1 ~ ., data=mytraindata, family=binomial("logit")) It generated the following error message: Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor 'state1' has new level(s) AP Thank you!