[R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread r user
Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more manual approach to trimming outliers and/or normalizing data used in regression analysis? __ R-help@stat.math.ethz.ch mailing list

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Berton Gunter
: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of r user Sent: Thursday, April 06, 2006 8:51 AM To: rhelp Subject: [R] pros and cons of robust regression? (i.e. rlm vs lm) Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more manual

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Liaw, Andy
. Box -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of r user Sent: Thursday, April 06, 2006 8:51 AM To: rhelp Subject: [R] pros and cons of robust regression? (i.e. rlm vs lm) Can anyone comment or point me to a discussion

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Berton Gunter
To: rhelp Subject: [R] pros and cons of robust regression? (i.e. rlm vs lm) Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more manual approach to trimming outliers and/or normalizing data used in regression analysis

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Ruben Roa
-Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Berton Gunter Sent: 06 April 2006 14:22 To: 'r user'; 'rhelp' Subject: Re: [R] pros and cons of robust regression? (i.e. rlm vs lm) There is a **Huge** literature on robust regression, including many books

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread roger bos
To: rhelp Subject: [R] pros and cons of robust regression? (i.e. rlm vs lm) Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more manual approach to trimming outliers and/or normalizing data used in regression analysis

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Spencer Graves
: Thursday, April 06, 2006 9:56 AM To: 'Berton Gunter'; 'r user'; 'rhelp' Subject: RE: [R] pros and cons of robust regression? (i.e. rlm vs lm) To add to Bert's comments: - Normalizing data (e.g., subtracting mean and dividing by SD) can help numerical stability of the computation, but that's

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Berton Gunter
regression? (i.e. rlm vs lm) A great example of the hazards of automatic outlier rejection is the story of how the hole in the ozone layer in the southern hemisphere was discovered. Outliers were dutifully entered into the data base but discounted as probable metrology problems

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread Liaw, Andy
; Liaw, Andy Cc: rhelp Subject: Re: [R] pros and cons of robust regression? (i.e. rlm vs lm) I'm asking this question purely for my own benefit, not to try to correct anyone. The procedure you refer to as normalization I have always heard referred to as standardization. Is the former the proper

Re: [R] pros and cons of robust regression? (i.e. rlm vs lm)

2006-04-06 Thread bogdan romocea
Sent: Thursday, April 06, 2006 1:15 PM To: Berton Gunter; Liaw, Andy Cc: rhelp Subject: Re: [R] pros and cons of robust regression? (i.e. rlm vs lm) I'm asking this question purely for my own benefit, not to try to correct anyone. The procedure you refer to as normalization I have always