search for: fiitted

I have the following code to write the output from auto.arima function. The issue is not in finding the model but to divert its out put fit to a file order_fit.txt. code runs but nothing is written to order_fit.txt where am I going wrong library(forecast) for (i in 1:2) { filen = paste("file",i,".txt",sep="") data <- read.table(filen) dat1 <- data[,1] xt <-

Dear All, I am using "Caret"package for SVM regression and elastic net regression . I can get the final fiited vs observed values. How can I get the coefficients? Any ideas? Thanks Alex [[alternative HTML version deleted]]

Hello everybody, I want to use the nnet library and my problem is that the algorithm seems to accept only class as target when the neural is fiiting. So the output when I use predict.nnet is also a class. Is it possible to have numeric variable as target ? If yes, what is the syntax ? Thank you. Cordialement, R?gis CHARIGNON

Dear R-Users My problem is quite simple: I need to use a fitted model to predict the next point (that is, just one single point in a curve). The data was divided in two parts: identification (x and y - class matrix) and validation (xt and yt - class matrix). I don't use all values in x and y but only the 10 nearest points (x[b,] and y[b,]) for each regression (b is a vector with the

Hi, I am trying to get a general feel of how usable Wine64 is. I just built 1.3.13. To see how well it works, I ran 64-bit Putty. It works flawlessly. Now, I am trying to play around with different little programs. I took "notepad.exe" from a Windows 7 install (hoping it would be a reasonably simple program for a start). It crashed with: fixme:heap:HeapSetInformation (nil) 1 (nil)

...=dat(),kt="prod",kern="gauss") g21<-predict(fit2,type="terms") If I done this on the computer the results of (g21) is a vector of results when I should have a matrix with 2 columns (one for each fitted smooth function). Please, somebody knows how I can get the fiitted values of both smooth functions (m1) and (m2) using a local linear regression with kernel weights as this example? thanks a lot in advance. Alexandra [[alternative HTML version deleted]]

None of Andy's comments) are inconsistent with the point that rlm() and lqs(), if they disagree with lm(), likely offer better places to start than does lm(), in identifying points that should be examined as in some sense outliers. All such methods are to be used, not as crutches, but as sources of insight. Incidentally, the "rlm" class inherits from "lm", and plot.lm()

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

Hi all, this is my setup OS: Debian Squeeze (6.0.2) Samba: 3.5.6 LDAP: 2.4.23 and I have few questions about things I dont really understand and havent found clear answer using google and searching mailng list till now: 1) is there a way to get some password changing tool (smbpasswd, ldappasswd, smbldap-passwd, etc.) obey account policy, which I set using pdbedit (and works fine when I try to