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Dear Sir, My name is Iut Tri Utami. i am beginning user. I have a problem about generate data in R. It consists of one disk generated by a Gaussian N(0, 0.167) and one ring generated by a Gaussian N(R, 0.1). The mean R was generated from its polar coordinates. The angle was drawn from a uniform distribution on the interval (0, 2ð),...

...ed from polar its coordinates. I am confused about the algorithm? I know how to generate two Gaussian data with certain mean&covariance matrix using mvnorm but what about mean from its polar coordinates? Thanks for your help. Best wishes, Iut ------Pesan Asli------ Dari: John Kane Ke: Iut Tri Utami Ke: r-help at r-project.org Perihal: RE: [R] example Terkirim: 27 Apr 2013 8:19 PM https://github.com/hadley/devtools/wiki/Reproducibility http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example It is not clear what you want. Do you need to generate the data or do...

...tern recognition is class type in hepatitis data. I don't understand at all about the Bagging algorithm. I attach the following data and journal about bagging algorithm. What should I do ? could you help me?? Thank you very much for your attention and, I hope, your help. Best wishes Iut Tri Utami Bogor Agricultural Institute -------------- next part -------------- A non-text attachment was scrubbed... Name: Pattern Classification Using Support Vector Machine Ensemble.pdf Type: application/pdf Size: 113137 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/2...

...technique.I've tried the program, can you correct them? I have the results of the program in accordance with the appropriate I expected because it turns out I do not get the missclassification Rate and aggregation. Can you help me?? thanks you so much for your attention best wishes, IUT TRI UTAMI Bogor Agricultural Institute, Indonesia -------------- next part -------------- #SINGLE SVM library(colorspace) library(rpart) library(e1071) library(MASS) dataset <- read.csv("E:/thesis/SVM/hepatitis data csv.csv",header=T,sep=";") attach(dataset) index <- 1:nrow(dataset)...