[R] Outlier detection with the dprep library

Hi. The dprep library has at least three different methods for outlier detection: baysout, mahaout, robout. I wanted to test them on a very simple data set: vrmat-cbind((1:22),c(8,14,14,17,21,20,27,23,25,33,31,32,30,36,37,40,42,44,52,61,81,265)) As you can see by eyeballing this, the last

[R] outlier detection

Hi, there: I am wondering what packages are available in R which can do outlier detection in large-scale dataset. Thanks for sharing info, weiwei -- Weiwei Shi, Ph.D Did you always know? No, I did not. But I believed... ---Matrix III __

Re: [R] outlier detection

Random forest can do the job. HTH. On 8/3/05, Weiwei Shi [EMAIL PROTECTED] wrote: Hi, there: I am wondering what packages are available in R which can do outlier detection in large-scale dataset. Thanks for sharing info, weiwei -- Weiwei Shi, Ph.D Did you always know? No, I did

Re: [R] outlier detection

Thanks. I knew rf based on proximity can detect the outlier but when the data size goes to 1 million and the features go around 200, I guess I probably do not have enough memory to proceed. Do u have some experience of outlier detection in this kind of data size? regards, weiwei On 8/3/05,