search for: methodologists

Does an R package exist that is similar to SAS/Intrnet (http://support.sas.com/documentation/onlinedoc/intrnet/index.html) that will allow users to take parameters passed to it by a web request, produce results and return them to the web-browser in HTML format?  I tried looking through the package descriptions, but didnt' see anything like this.  Any direction or suggestions you could provide

I would like to be able to submit a list of URLs of various webpages and extract the "content" i.e. not the mark-up of those pages. I can find plenty of examples in the XML library of extracting links from pages but I cannot seem to find a way to extract the text. Any help would be greatly appreciated - I will not know the structure of the URLs I would submit in advance. Any

I am looking for advice on an editor to use with R (windows) that has an autosave feature. I typically write scripts using the RGui (and tried TinnR yesterday) but I am having continuing problems with BSODs (non R related) and have in the past have had issues with R crashes and would really like a system that does not require me to remember to hit the save button on my script every 10 minutes so

I have been trying to get Rgraphviz to work (I know it is from Bioconductor) unsuccessfully. Since I have no experience with Bioconductor I thought I would ask here if anyone has advice. I have installed Graphviz 2.20.3 as is recommended on the Bioconductor site but basically R cannot seem to find the needed dll files. So, even though I have added the appropriate directories to the system path R

I am trying to run a partialPlot with Random Forest (as I have done many times before). First I run my forest... Cell is a 6 level factor that is the dependent variable - all other variables are predictors, most of these are factors as well. predCell<-randomForest(x=tempdata[-match("Cell",names(tempdata))],y=tempdata$Cell,importance=T) Then I try my partial plot to look at the

We occasionally utilize the coxph function in the survival library to fit multinomial logit models. (The breslow method produces the same likelihood function as the multinomial logit). We then utilize the predict function to create summary results for various combinations of covariates. For example:

Zelig: Everyone's Statistical Software Kosuke Imai, Gary King and Olivia Lau Version 1.0 (Available at http://gking.harvard.edu/zelig) A growing proportion of statisticians and methodologists from many disciplines are converging on R, a powerful statistics package and programming language. As an open source project, R is freely accessible. With thousands of contributors who have written hundreds of packaged routines, R can deal with nearly any statistical problem. Although this high l...

I am trying to create a dendrogram object to be able to display a multiway table. I understand how the dendrogram object is structured, a nested list of lists, but I am having trouble trying to create that structure from a table. Basically, what I would like to do is pass a multiway table, say table(a,b,c) to a function and have it display the table as a dendrogram. If a,b,c, and d are all

I am just starting to experiment with the party package and I am getting strange results. In the examples, the "statistic" and "criterion" seem related, i.e. criterion is a 1-p.value and statistic is the test statistic. Higher statistics are associated with higher criteria values. When I run these models on my own dataset, the highest statistic ends up getting a 0.00

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

Hello, I am starting to use R for various analyses, for example I use the ca package to do Correspondence Analysis. I am also looking to use packages such as: pls Partial Least Squares plspm Partial Least Squares Path Modelling However, although I can use packages such as these on un-weighted data there does not appear to be a facility to take account of weighted data. I am a

I am trying to run a very large Bradley-Terry model using the BradleyTerry2 package. (There are 288 "players" in the BT model). My problem is that I ran the model below successfully. WLMat is a win-loss matrix that is 288 by 288 WLdf<-countsToBinomial(WLMat) mod1<-BTm(cbind(win1,win2),player1,player2,~player,id="player",data=WLdf) Then I needed to run the same model

Hello all: I have searched through the help files and I have been unsuccessful in solving this problem. I am trying to create a small wrapper function that will go around a call to a plot function and create a windows metafile in the directory and also write the name of the file to a text file. The purpose is to efficiently bring a large number of plots into powerpoint. I am using

Dear r-help I am trying to run LDA on a training data set, and test it on another data set with the same variables. I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned. Here is what I tried # FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE NEW VARIABLES traintest1 <-

I would rather use cleveland dot plots than bar charts to display my study results. I have not been able to find (or figure out) an R package that is capable of producing the publication quality dot charts Im looking for. I have either not been able to get error bars (lattice), cannot order the data display properly (latticeExtra), or cannot make adjustments to axes. Does anyone have a quick

I can think of several ways to blunt force hard code what I want but I imagine there is a command or two that can be easily combined to do this: I have a data frame with about 23000 observations. There first variable is the group to which the observation belongs (about 500 different groups). The second variable is a response for each observation that is a 1,2,3,4 or 5. I want to be able to

Hi, I’ve written some code to obtain a confusion matrix when the true classification and the predicted classification are known. Suppose true classification is called “tr” and predicted classification is “pr”. I have 4 classes in tr, but only 3 classes out of 4 are predicted in “pr”. Following is my code, but looks quite “clunky” to me. I wonder if you have any suggestions to improve it.

Dear R users I have a very basic question. I tried but could not find the required result. using dat <- pima f <- table(dat[,9]) > f 0 1 500 268 i want to find that class say "0" having maximum frequency i.e 500. I used >which.max(f) which provide 0 1 How can i get only the "0". Thanks and best regards Muhammad Azam Ph.D. Student Department of

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.