search for: choicepoint

...All, Is there a emacs/xemacs for unix without compiling it? If it is possible, I prefer something that I can use immediately after putting it on the unix server. Is it possible or am I too stupid to ask this kind of question? Thanks for your insight! -- =============================== WenSui Liu ChoicePoint Precision Marketing Phone: 678-893-9457 Email : wensui.liu at choicepoint.com Blog : statcompute.spaces.live.com

...+emacs on unix with R? Any insight? This will be an experimental use of R in our company. If I can make a successful case out of it, we might be able to use it in a larger scale. So your input and help are highly appreciated. =============================== WenSui Liu Statistical Project Manager ChoicePoint Precision Marketing (http://spaces.msn.com/statcompute/blog)

...Prob of Class j * F(X)j / sum(Prior-Prob of Class i * F(X)i) for i in [1, K] & prediction = sum(prediction for class i * post-prob) for i in [1, K]. However, I am not sure if this is correct. Any insight? Thanks a lot! -- =============================== WenSui Liu Statistical Project Manager ChoicePoint Precision Marketing (http://spaces.msn.com/statcompute/blog)

Is there a package or function for multivariate garch model in R? I am having a hard time in locating one. Thanks for help in advance. -Young [[alternative HTML version deleted]]

Is there any implementation in R for finding the phase shift between two continuous signals. I would like to find the average phase shift for tow signals over two years. thanks Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted

Dear R users: I am wondering how to ask for *fixed* number of distributions under parameterized Gaussian mixture model. I know that em() and some related functions can predict the parameterized Gaussian mixture model. However, there seems no parameter to decide number of distributions to be mixed (if we known the value in advance). That is, assume I know the (mixed)data is from 3 different

Dear R users, Simply my question is that how it is possible to generate some random numbers using rnorm( ) but in log transformed values. Thank you, Tobias --------------------------------- [[alternative HTML version deleted]]

I have a thirty thousand row data frame imported from excel and a 60,000 row data frame imported from excel. they share a common subset of the same data and I would like to combine the two into one data frame merged together on the data in common. I have looked at the help file for merge and intersect and cbind and rbind etc... And I can't figure it out. Thanks in advance Stephen --

This is the most basic question ever...I haven't used R in a couple years since college so I forget and haven't been able to find what I'm looking for in any of the manuals. I just need to figure out how to load a dataset into the program from excel! Thanks! CL [[alternative HTML version deleted]]

Hi everyone, please I'm having problem importing data from Stata and excel. Help me out. Thanks --------------------------------- [[elided Yahoo spam]] [[alternative HTML version deleted]]

Having just update to R 2.6.2 on my old Windows laptop I notice that the number of packages is growing exponentially and my usual approach of get-em-all may not be viable much longer. Has any thought been given to dividing "contributed" binaries into a recommended set, perhaps a couple of hundred, and the remained. That way one could install the recommended ones routinely and add in

Hi All, Sorry that I didn't provide enough information. I've been trying to import SAS xport files that contain multiple files using package foreign's read.xport. I first attempted this back in 2005 and had problems. Some of files that were present in the SAS xport file weren't being created in R. I submitted my problem to the community:

R 2.6.0 Windows XP A question about running a generalized linear model. I am running a glm with (1) a poisson distribution and a log link: family=poisson(link = "log") and an offset. I would like to know if I should express the offset as the log of the offset value, i.e. offset=log(NumUniqPt) or as: offset=NumUniqPt I suspect I need to use the log, bu t I can't find any

At the suggestion of many people, I have installed emacs on my linux (Fedora 8.0) computer with the intention of using emacs as window interface to R (2.6.0). I have gone though the emacs tutorial and don't see any information about how I should use emacs to run R. Can anyone suggest a document that I might read? In the past I have used R on a Windows XP system and used the built-in windowing

Here is my R Code x<-1:20000 y<-2:141 data.matrix<-data.matrix(data[,y])#create data.matrix variableprobe<-apply(data.matrix[x,],1,var) variableprobe #output variance across probesets hist(variableprobe) #displaying histogram of variableprobe write.table(cbind(data[1], Variance=apply(data[,y],1,var)),file='c://variance.csv') #export as a .csv file. Output in Excel all in 1

Recently, I have been working with some data that look like two overlapping gaussian distributions. I would like to either 1) determine the mean and SD for each of the two distributions OR 2) get some (bayesian ?) statistic that estimates how likely an observation is to belong to the left-hand or right-hand distribution In case I'm using the wrong language, my data looks something like

...ute the posterior probabilities of each case for a new dataset without observed response (Y)? I want to know the parametric form of such calculation such that I can calculate it manually in excel or sql. Thank you so much! -- =============================== WenSui Liu Statistical Project Manager ChoicePoint Precision Marketing (http://spaces.msn.com/statcompute/blog)

I am looking for a recommendation for an open source competitor to Winzip. I seem to recall Brian Ripley mentioning one in the last year or so, but couldn't find it in the mail archives. (Searching on Ripley there is somehow not terribly useful.) Suggestions? David Scott _________________________________________________________________ David Scott Department of Statistics, Tamaki Campus

Hi, This is regarding the ARIMA model. I am having time series data of stock of 2000 values. Using the ARIMA model in R, I want the forcasted values for next 36 time points. However when I run this model in R, I am getting same value for all 36 time points. I have tried to fit the data with ARIMA model by changing the parameters p,d,q after looking at the errors and other criteria for

I am switching from Matlab to R, but I found that R is 200 times slower than matlab. Since I am newbie to R, I must be missing some important programming tips. Please help me out on this. Here is the function: ## make the full pair-wise permutation of a vector ## input_fc=c(1,2,3); ## output_fc=( 1 1 1 2 2 2 3 3 3 1 2 3 1 2 3 1 2 3 ); grw_permute = function(input_fc){ fc_vector = input_fc