search for: rousseuw

...ould be becuase of the per sample adjustments. Now if I want to decide whether an observation is an outlier I use the condition which( abs(m$resid) > 2.5 * m$scale[1] ) and this gives me 1 2 3 4 8 13 14 20 21 1 2 3 4 8 13 14 20 21 Now, it includes the original outliers as noted by Rousseuw, but also 4 extra ones. From a plot of the residuals I can see obs 13,14,20 possibly being regarded as outliers but 8 seems a stretch. I tried evaluating the above condition with m$scale[2] but I get the same result. I also tried running lqs() with adjust=FALSE in which case using the above condit...

Hello All, I have a 131072x132 matrix for which I need to compute a regular euclidean distance matrix, which I then need to transform and run agnes() on this transformed matrix. I am having trouble computing the distance matrix as it is fairly large and I am sure I have gone over the max. The specific error I am getting is: Error in vector("double", length) : negative length vectors