search for: fiited

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

...0.718 x[b, ]5 -0.276498 0.119545 -2.313 0.104 x[b, ]6 -0.003010 0.003574 -0.842 0.462 Residual standard error: 0.07893 on 3 degrees of freedom Multiple R-squared: 0.7932, Adjusted R-squared: 0.3795 F-statistic: 1.917 on 6 and 3 DF, p-value: 0.3169 Once the fiited model is found (it does not matter how bad it is - the variables are poorly correlated), I need to predict the next value > predict(fit.a,xt[j,]) Error in eval(predvars, data, env) : numeric 'envir' arg not of length one It seems that predict needs a dataframe class but eve...

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)

Dear memberships, I'm trying to estimate the following multivariate local regression model using the "locfit" package: BMI=m1(RCC)+m2(WCC) where (m1) and (m2) are unknown smooth functions. My problem is that once I get the regression done I cannot get the fitted values of each of this smooth functions (m1) and (m2). My program is the following: library(locfit)

...> err <- rnorm(100) >>>>> err[15] <- 5; err[25] <- -4; err[50] <- 10 x <- 1:100 y >> <- alpha + >>>>> beta * x + sigma * err ll <- lm(y ~ x) >>>>> plot(ll) >>>> >>>> ll is the output of a linear model fiited by lm(), and so >> has several >>>> components (see ?lm in the section "Value"), one of which is >>>> "residuals" (which can be abbreviated to "res"). >>>> >>>> So, in the case of your example, >>>> >...

...008 at gmail.com> Cc: r-help at r-project.org Message-ID: <6731304c0905040627i387cf645i905423007b24b14f at mail.gmail.com> Content-Type: text/plain; charset=ISO-8859-1 Alex, > 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? You didn't say what version of caret and R you are using, what kernel or what type of coefficients. If you tune a model using train: fit <- train(x, y, "enet") then fit$finalModel contains an enet object with...

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