search for: huberm

Hello: I found the "hubers" function in MASS library is NOT working on the following data: > a <-

...and scale. These functions are optimized for speed and can be applied to large scale problems like for instance gene expression data. Using rowRobLox the computation for a 50000 x 20 matrix takes about 2 sec. on a Centrino Duo with 1.66 GHz. As a comparison (all on the same system): using apply and huberM (robustbase), resp. huber (MASS) takes about 168 sec. resp 197 sec., using apply and roblox takes about 16 minutes and using apply and roptest (ROptEst) takes about 1 month. ----------------------------------------------------------------------------------------- ROptRegTS - Optimally robust estim...

...and scale. These functions are optimized for speed and can be applied to large scale problems like for instance gene expression data. Using rowRobLox the computation for a 50000 x 20 matrix takes about 2 sec. on a Centrino Duo with 1.66 GHz. As a comparison (all on the same system): using apply and huberM (robustbase), resp. huber (MASS) takes about 168 sec. resp 197 sec., using apply and roblox takes about 16 minutes and using apply and roptest (ROptEst) takes about 1 month. ----------------------------------------------------------------------------------------- ROptRegTS - Optimally robust estim...

Hi Everyone, I have a very long list of data-points (+2300) and i know from my histogram that there are outliers which are affecting my mean. I was wondering if anyone on here knows a way i can quickly get R to calculate and remove data which is 3 standard deviations from the mean? I am hoping this will tidy my data and give me a repeatable method of tidying for future data collection.