search for: sekemp

Hi, I want to set up a dynamic link between a library e.g. myLibrary.a and a C++ file myProgram.cc to use in R. Is this possible? If so how does one go about doing it? Any help will be greatly appreciated. Cheers, Sam.

...e source of my problems????? Does anyone know the reason for this? Any help is appreciated, Sam. Samuel Edward Kemp BSc (Hons) Cardiff Neural & Evolutionary Computation Research Group School of Computing University of Glamorgan CF37 1DL Tel: (+44)443 483612 Fax:(+44)443 482715 e-mail: sekemp@glam.ac.uk <mailto:sekemp@glam.ac.uk> [[alternative HTML version deleted]]

Dear all, I am trying to write an R function that can estimate Transfer functions *with additive noise* i.e. Y_t = \delta^-1(B)\omega(B)X_{t-b} + N_t where B is the backward shift operator, b is the delay and N_t is a noisy component that can be modelled as an ARMA process. The parameters to both the impulse response function and the ARMA noisy component need to be estimated simultaneously. I

Hi, I am trying to use the stl function in the ts package. It requires that the data is a univariant time series at the moment my data is in a vector. I have coerced it to a time series using.... crimets <- ts(crimeData) However, this does not work. Does anyone have any suggestions? Cheers, Sam. p.s. I am fairly new to R so apologies if this is a stupid posting.

Hi, Does anyone know of a pre-existing function where I can get the t-test confidence interval for a given mean, sd, degrees of freedom and confidence limit. I do NOT want to run any data through the t.test function. Kind regards, Sam. [[alternative HTML version deleted]]

Hi, I have been using R for a few months now and I am confident that the language has everything I will need to complete my PhD. I can create functions, script files and packages, but I would like to write my programs more efficiently (maybe using OO). Can anyone recommend a good book on the "art" of good R programming? Kind Regards, Sam.

Hi, Does anyone know of a function in R that can estimate the parameters of a transfer function model with added noise like in SAS? Thanks in advance, Sam.

Hi, I am using nnet to learn transfer functions. For each transfer function I can estimate the best possible Mean Squared Error (MSE). So, rather than trying to grind the MSE to 0, I would like to use abstol to stop training once the best MSE is reached. Can anyone confirm that the abstol parameter in the nnet function is the MSE, or is it the Sum-of-Squares (SSE)? Best regards, Sam.

Hi, I have a contributed package on CRAN (GammaTest) and was wondering whether it is possible to find out how many times it has been downloaded. I would like to include this information in my Ph.D. thesis. Thanks in advance, Sam. [[alternative HTML version deleted]]

Hi, I am using the arima.sim function to generate some AR time series. However, the function does not seem to produce exactly the same time series when I specify the innov parameter. For example > r <- rnorm(300) > x <- arima.sim(300, model=list(order=c(1,0,0),ar=c(.96)), innov=r, n.start=10) > y <- arima.sim(300, model=list(order=c(1,0,0),ar=c(.96)), innov=r, n.start=10) >