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Dear RsR list members, I somehow got stuck wth lmRob and I am sure I am missing something and I do not know what. It is my first time using robust statistics and I have read all your posts and pdfs recommended I think it is likely to be a newbie question. I ploted two variables and the pictures shows a number of outliers that I want to identify given that the main trend between those two measurements is positive. (although they look like a lot, it is more or less 800 points out of 6000)  I used then robust<-lmRob(WPROB~NPP,data=""> lmRob(formula = WPROB ~ NPP, data = ""> Coefficients: (Intercept) NPP 499.86274538 -0.00990502 Degrees of freedom: 6002 total; 6000 residual Residual standard error: 250.3199 1) I do not really understand the slope of the regression, why is it negative??? then used plot.lmRob(robust) and choose for option 11 (scatter plot with fits)  What is meant to be the x axis (WPROB) turns into the y axis. The regression line and the confidence intervals shown have nothing to do, of course, with the coefficients retrieved...what am I doing wrong? Thank you in advance, pep |
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