similar to: Phase Shift

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

Hi, everyone: I forget on how to save a result from R as a word document. For example, if I run the linear regression and want to save the result: summary(lm(y~x) in a word file. So I can show it later to my clients. Any idea on how to do this? Thanks a lot, Suyan

Hi Everyone: I need some help on combining two datasets into one. Since for those two datasets, there are different variables. Like In dataset 1, I have pt x1 x2 1 12 24 2 20 17 In dataset 2, I have pt x2 x3 3 19 33 4 20 16 The final dataset I want should look as pt x1 x2 x3 1 12 24 NA 2 20 17 NA 3 NA 19 33 4 NA 20 16 I used setdiff and rbind together and got what I

I am trying to combine two arrays with different dimensions into one. For example The first one is 1 2 3 4 5 6 The second one is 7 8 9 10 The resulted one would be like , , 1 1 2 3 4 5 6 , , 2 7 8 9 10 I used abind to do this, but failed. Could somebody please let me know how to do this in R? Thanks so many. Suyan

Hi, I just made a boxplot but I want to change the thickness of the line used for the median to look a little thinner. Could anyone please help me figuring out the R-code to do it? Thanks, I really appreciate it. Suyan

Hi, everyone: I am running logistic regression on a bunch of variables using apply command. But an error occurs, the whole process stops. I am wondering if anyone knows how to skip this error and to continue the regression for the rest of variable. What I did is that first confine a function to the logistic regression, then use apply(data, 2, reg.fun) Then I got an error which is [1]

Dear 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

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 --

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

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

Dear All, I finally have chance to have R install on our unix server. However, the system admin asked me if I prefer command-line or gui interface. I have experience with R on linux before but never use R on unix. Here are my questions that I need you guys help. 1) is there a good gui for R/unix like we do for windows and mac? 2) if the answer for 1) is yes, which one is better interms of

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

Dear Listers, My post might be somewhat OT. Currently, I am trying to use flexmix to build a finite mixture model. For instance, I am getting the prior probability and coefficients for each latent class from training data. Is there a way to get the posterior probablity and prediction of a new dataset? What I am thinking is to apply the prior prob and coefficient from training set to testing data

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

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]]