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

	[[alternative HTML version deleted]]

