Hallo folks,
I know I should not ask the same question again. But I have a problem I cannot
solve and without the solution I am stuck and lost, unable to get along with my
work!
Someone suggested I should try the code below in order to eliminate the
outliers from my data. I did as I was told, but I got a negative reply. The
code did not function. I am including it here so that, if possible, someone may
correct it for me. That would really be very much appreciated!
My data has 1439 rows.
*RR.rebuild <- glm(RR, subset=remove)
glm(RR, subset=!(1:1439 %in%
c(56,303,365,391,512,746,859,940,1037,1042,1138,1355))
influence(RR.rebuild)
influence.measures(RR.rebuild)*
Many thanks in advance for any help and sorry for being annoyingly persistent!
Francisco
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