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Hi there, I ran the following code: vols=read.csv(file="C:/Documents and Settings/Hugh/My Documents/PhD/Swaption vols.csv" , header=TRUE, sep=",") X<-ts(vols[,2]) #X dcOU<-function(x,t,x0,theta,log=FALSE){ Ex<-theta[1]/theta[2]+(x0-theta[1]/theta[2])*exp(-theta[2]*t) Vx<-theta[3]^2*(1-exp(-2*theta[2]*t))/(2*theta[2]) dnorm(x,mean=Ex,sd=sqrt(Vx),log=log) }

I'm new to R. I'm working with the text mining package tm. I have several plain text documents in a directory, and I would like to read all the files with extension .txt in that directory into a vector, one text document per vector element. That is, v[1] would be the first document, v[2] the second, etc. I know how to read the documents into a tm Corpus, but that's not what I want

Hi everybody- First time poster, please be gentle. I have written a little rails app where you can create divs and move them around via Thomas'' wonderful dragdrop.js. I would like to be able to fire an AJAX event to update the top and left of the dragged object upon release. I see many AJAX link_to_remote and observe_field. What is the proper way to observe that the position (not

Hi R People! Is there a quick way to generate help files for functions, please? I know that if you use "package.skeleton", that will work. However, I'm not using that for a new package. (Hope this make sense) this is for SUSE10.1, please. thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto:

Hello R: i work on an IRT simulation research. I've written a code to generate a single dataset.As i will repeat simulating the data 100 times under every condition, how can i write the R code to make it run the single simulation code 100 times and save the generate results each time? Thanks so much~

Dear helpers, I've got a main script, which calls 4 times a function on 4 different datasets respectively. This function runs "nls" and is located in another R script which is sourced into my main script. What I would like to have is this: If, e.g. in the 3rd call of the function, nls fails, because it can't converge, I would like it to return an error (value or message), and

it is possible to dynamically create functions in R using lists? what I want to do is something like this: a = list() for (i in 1:10) a[[i]] = function(seed = i) runif(seed) so that when I call a[i] I get random draws 1,2,....i unfortunately R only uses the last i . I would also like to know if there is a run-all function without explicitly looping or using lapply. for example if I

HI, Dear R community, I am writing the following function to create one data set(*tree.pred*) and one vector(*valid.out*) from loops. Later, I want to use the data set from this loop to plot curves. I have tried return, list, but I can not use the *tree.pred* data and *valid.out* vector. auc.tree<- function(msplit,mbucket) { * tree.pred<-data.frame()

What are some Great resources to get into Rails? Keep in mind this is for someone that has little to no programming experience. So starting from scratch... A little background is that I want to create a program for personal use that uses Databases to store lots of information. They wopuld draw from each other and work to help in large scale event planning and management. Any help is

Hi I'm having a problem with model.frame, encapsulated in this example: y1 <- matrix(c(3,1,0,1,0,1,1,0,0,0,1,0,0,0,1,1,0,1,1,1), nrow = 5, byrow = TRUE) y1 <- as.data.frame(y1) rownames(y1) <- paste("site", 1:5, sep = "") colnames(y1) <- paste("spp", 1:4, sep = "") y1 model.frame(~ y1) Error in model.frame(formula, rownames,