Re: [R] Accessing individual variables from summary of lm

2008-07-23 Thread Mark Difford

Hi Ben,

Sorry (still a little out-of-tune), perhaps what you really need to know
about is ?[

HTH, Mark.


Mark Difford wrote:
 
 Hi Ben,
 
 If you wouldn't mind, how do I access the individual components inside
 coefficients matrix?
 
 What you want to know about is ?attributes
 
 ##
 attributes(model)
 model$coefficients
 model$coefficients[1]
 model$coefficients[2:4]
 model$coefficients[c(1,5)]
 
 HTH, Mark.
 
 
 ascentnet wrote:
 
 Thanks for your help!  If you wouldn't mind, how do I access the
 individual components inside coefficients matrix?
 
 thanks,
 Ben.
 
 Paul Smith wrote:
 
 On Tue, Jul 22, 2008 at 5:44 AM, ascentnet [EMAIL PROTECTED] wrote:
 I am trying to access the R2, intercept, and slope out of the summary
 from an
 lm so that I can insert it into a database using RODBC.  How can I
 access
 these individually?
 
 Try:
 
 data(swiss)
 model - lm(Infant.Mortality ~ .,data=swiss)
 summary(model)$r.square
 # The following returns a matrix with the coefficients
 summary(model)$coefficients
 
 Paul
 
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 http://www.R-project.org/posting-guide.html
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Re: [R] Accessing individual variables from summary of lm

2008-07-23 Thread Mark Difford

Hi Ben,

 If you wouldn't mind, how do I access the individual components inside
 coefficients matrix?

What you want to know about is ?attributes

##
attributes(model)
model$coefficients
model$coefficients[1]
model$coefficients[2:4]
model$coefficients[c(1,5)]

HTH, Mark.


ascentnet wrote:
 
 Thanks for your help!  If you wouldn't mind, how do I access the
 individual components inside coefficients matrix?
 
 thanks,
 Ben.
 
 Paul Smith wrote:
 
 On Tue, Jul 22, 2008 at 5:44 AM, ascentnet [EMAIL PROTECTED] wrote:
 I am trying to access the R2, intercept, and slope out of the summary
 from an
 lm so that I can insert it into a database using RODBC.  How can I
 access
 these individually?
 
 Try:
 
 data(swiss)
 model - lm(Infant.Mortality ~ .,data=swiss)
 summary(model)$r.square
 # The following returns a matrix with the coefficients
 summary(model)$coefficients
 
 Paul
 
 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.
 
 
 
 

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View this message in context: 
http://www.nabble.com/Accessing-individual-variables-from-summary-of-lm-tp18582274p18604576.html
Sent from the R help mailing list archive at Nabble.com.

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] Accessing individual variables from summary of lm

2008-07-22 Thread ascentnet

I am trying to access the R2, intercept, and slope out of the summary from an
lm so that I can insert it into a database using RODBC.  How can I access
these individually?

thanks in advance,
Ben.
-- 
View this message in context: 
http://www.nabble.com/Accessing-individual-variables-from-summary-of-lm-tp18582274p18582274.html
Sent from the R help mailing list archive at Nabble.com.

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] Accessing individual variables from summary of lm

2008-07-22 Thread Paul Smith
On Tue, Jul 22, 2008 at 5:44 AM, ascentnet [EMAIL PROTECTED] wrote:
 I am trying to access the R2, intercept, and slope out of the summary from an
 lm so that I can insert it into a database using RODBC.  How can I access
 these individually?

Try:

data(swiss)
model - lm(Infant.Mortality ~ .,data=swiss)
summary(model)$r.square
# The following returns a matrix with the coefficients
summary(model)$coefficients

Paul

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.