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...hsler, Assistant Professor Department of Engineering Management, Information, and Systems Department of Computer Science and Engineering (by courtesy) Bobby B. Lyle School of Engineering Southern Methodist University, Dallas, Texas office: Caruth Hall, suite 337, room 311 email: mhahsler at lyle.smu.edu web: http://lyle.smu.edu/~mhahsler

Does anyone have experience about how to convert a matrix to binaryMatrix using Recommenderlab package? Thanks, Jing [[alternative HTML version deleted]]

While R has library TSP to help solve traveling salesperson problems, does anyone know if it has any libraries to help solve multiple traveling salesperson problems? For instance, suppose one is planning school bus routes and one has multiple buses. Thank you for your time. -- View this message in context:

I read the documentation below to mean that: solve_TSP( tsp_input, '2-opt', rep=99 ) will use the 2-opt method on the tsp_input variable 99 times. Catch: I get an "unused input" error. Q: Am I reading the docs (Item 1, below) correctly or is this a problem with solve_TSP ignoring its inputs (Item 2, below). Item 1: solve_TSP doc: > library(TSP) >

Suppose this is my list of transactions: set.seed(200) tran=random.transactions(100,3) inspect(tran) items transactionID 1 {item80} trans1 2 {item8, item20} trans2 3 {item28} trans3 I want to get the 'transpose' of the data, i.e. transactionID items 1 {trans2} item8 2 {trans2} item20 3 {trans3} item28 4 {trans1} item80 I

Hello. I have a general question regarding to clustering of association rules. According to http://cran.r-project.org/web/packages/arules/vignettes/arules.pdf "4.7 Distance based clustering transactions and associations" there is possibility for creating clusters of association rules. I do not understand, how I have to interpret clusters of rules. Let us have next association rules and

Greetings, I am having trouble getting the function reformulate_ATSP_as_TSP to work for me. I have provided a simple example of some of the code I've been using. In particular, I'm not sure why I'm getting the error "Error in dimnames(tsp) <- list(lab, lab) : length of 'dimnames' [1] not equal to array extent" since I created the object ATSP with a valid

...hsler, Assistant Professor Department of Engineering Management, Information, and Systems Department of Computer Science and Engineering (by courtesy) Bobby B. Lyle School of Engineering Southern Methodist University, Dallas, Texas office: Caruth Hall, suite 337, room 311 email: mhahsler at lyle.smu.edu web: http://lyle.smu.edu/~mhahsler

...hsler, Assistant Professor Department of Engineering Management, Information, and Systems Department of Computer Science and Engineering (by courtesy) Bobby B. Lyle School of Engineering Southern Methodist University, Dallas, Texas office: Caruth Hall, suite 337, room 311 email: mhahsler at lyle.smu.edu web: http://lyle.smu.edu/~mhahsler

This is a Request For Comment, also BCCed to 390 package maintainers of reverse dependencies of the Matrix package. Most users and package authors working with our 'Matrix' package will be using it for numerical computations, and so will be using "dMatrix" (d : double precision) matrix objects M, and indirectly, e.g., for M >= c will also use "lMatrix" (l: