[R] Clustering for social/complex networks
Hi group, Here is another clustering question. Is there anything available in R that I can cluster groups with overlaps? It looks like a Venn Diagram with two or more circles overlapping one another. I realize that Hierarchical Clustering (hclust in Stats) only group individuals into distinct groups. My scenario is I have to group Physicians that each of them may belong to more than one group. That reflects the complexity of relationhip, something analogous to Social Network. Thanks! kel __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Clustering Question
Hi group, My case has N physicians with each seeing M patients. One physician could have seen a group of patients, or, a patient could have been seen by multiple number of physicians. In order words, there are overlaps. Now, I have the following NxM matrix Patient#1 Patient#2 Patient#3 ... Patient#m Physician#1 10 1 ... 0 Physician#2 11 1 ... 1 Physician#3 01 0 ... 1 . .. . ... . . .. . ... . Physician#n 11 0 ... 0 1 indicates previous encouter and 0 otherwise. My aim is to identify physician group practice based on the common patients they see. Any suggestion on which R package would best serve this purpose? Thank you so much! Regards, Kelvin __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Combine vector of different length
Hi group, Is there a quick way to cbind vector of different length? I should have checked out the previous postings but somehow I can't access the list from CRAN website. Thanks for your help. Regards, Kelvin __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Nested Logistic Regression
Hi group, I did a quick search in the archive but still couldn't find a function that performs nested logistic regression. Please point me in the right direction. Thanks a million! Regards, Kel __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] gbm (Kelvin Lam)
I have got some help from Greg during the course of my boosting procedure. I maybe able to help out. What exactly are you looking for? Message: 46 Date: Fri, 4 Mar 2005 12:07:06 -0600 From: WeiWei Shi [EMAIL PROTECTED] Subject: [R] gbm To: R-help@stat.math.ethz.ch Message-ID: [EMAIL PROTECTED] Content-Type: text/plain; charset=US-ASCII Hi, there: Is there anyone who read the codes for gbm package before? Before i sent this email, I also sent an email to ask for help from the author, Greg. But still I am wondering if someone here can share some understanding like the roadmap or document on the implementation too. Thanks, Ed. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] gamm with correlation structure question
Dear group, I am trying to use gamm() in mgcv. Here's the scenario. The data frame has approx. 110K observations with information on paediatric readmission binary outcome (Y/N) and total volume of their most responsible physician as the covariate. Since any physician can have multiple patients, the data contains clustering structure which I am trying to account for. My original formula is a - gamm(readmission~s(volume,fx=F), correlation=corCompSymm(0.1,form=~1|physician), family=binomial) During the first iteration, I received the warning Incompatible formulas for groups in random and correlation. Frankly I don't understand what it means. So I looked up the archive and saw one posted by Prof. Thomas Lumley on lme as follows: http://tolstoy.newcastle.edu.au/R/help/00a/0913.html So I changed my formula as this: a - gamm(readmission~s(volume,fx=F), random=list(physician=~1),family=binomial) However I still get an error message saying Lapack routine dgesv : system is exactly singular. Can anyone suggest a better way to deal with my problem. Please let me know if you need further details. Thank you so much. Regards, Kel __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
