Re: [R] Newbie programming help

2008-08-25 Thread ONKELINX, Thierry

Dear Steven,

Take a look at the lmList function in the nlme package. It does what you
want to do.

HTH,

Thierry




ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
[EMAIL PROTECTED]
www.inbo.be

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than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

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ensure that a reasonable answer can be extracted from a given body of
data.
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-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Ranney, Steven
Verzonden: vrijdag 22 augustus 2008 23:34
Aan: r-help@r-project.org
Onderwerp: [R] Newbie programming help

All -

Not sure if this is a real programming question, but here goes:

I have data that looks like

LakeLength  Weight
1   158 45
1   179 70
1   200 125
1   202 150
1   206 145
1   209 165
1   210 140
1   215 175
1   216 152
1   220 150
1   221 165
...

where lake goes from 1 - 84 and the number of rows for each lake is
variable (but  ~20). 
I'm trying to do two things: 1) build a simple linear model of the form

{lm(log10(Weight)~log10(Length)}

for every separate lake in the data set; 2) I'd like to save the
intercepts and slopes
from each of these linear regressions into a seperate data frame.  Any
ideas?  I think it would
probably require some kind of 'for' statement, but I'm just not that
smart.

Thanks for your help,

SR 

Steven H. Ranney
Graduate Research Assistant (Ph.D)
USGS Montana Cooperative Fishery Research Unit
Montana State University
PO Box 173460
Bozeman, MT 59717-3460

phone: (406) 994-6643
fax:   (406) 994-7479


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[R] Newbie programming help

2008-08-22 Thread Ranney, Steven
All - 

Not sure if this is a real programming question, but here goes:

I have data that looks like

LakeLength  Weight
1   158 45
1   179 70
1   200 125
1   202 150
1   206 145
1   209 165
1   210 140
1   215 175
1   216 152
1   220 150
1   221 165
...

where lake goes from 1 - 84 and the number of rows for each lake is variable 
(but  ~20).  
I'm trying to do two things: 1) build a simple linear model of the form 

{lm(log10(Weight)~log10(Length)}

for every separate lake in the data set; 2) I'd like to save the intercepts and 
slopes 
from each of these linear regressions into a seperate data frame.  Any ideas?  
I think it would 
probably require some kind of 'for' statement, but I'm just not that smart.

Thanks for your help, 

SR  

Steven H. Ranney
Graduate Research Assistant (Ph.D)
USGS Montana Cooperative Fishery Research Unit
Montana State University
PO Box 173460
Bozeman, MT 59717-3460

phone: (406) 994-6643
fax:   (406) 994-7479


[[alternative HTML version deleted]]

__
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.


Re: [R] Newbie programming help

2008-08-22 Thread Chuck Cleland
On 8/22/2008 5:34 PM, Ranney, Steven wrote:
 All - 
 
 Not sure if this is a real programming question, but here goes:
 
 I have data that looks like
 
 Lake  Length  Weight
 1 158 45
 1 179 70
 1 200 125
 1 202 150
 1 206 145
 1 209 165
 1 210 140
 1 215 175
 1 216 152
 1 220 150
 1 221 165
 ...
 
 where lake goes from 1 - 84 and the number of rows for each lake is variable 
 (but  ~20).  
 I'm trying to do two things: 1) build a simple linear model of the form 
 
 {lm(log10(Weight)~log10(Length)}
 
 for every separate lake in the data set; 2) I'd like to save the intercepts 
 and slopes 
 from each of these linear regressions into a seperate data frame.  Any ideas? 
  I think it would 
 probably require some kind of 'for' statement, but I'm just not that smart.

  Assuming the data are in a data frame called mydf:

library(nlme)

fm1 - lmList(log10(Weight)~log10(Length) | Lake, mydf)

coef(fm1)

?lmList

or

t(sapply(split(mydf, mydf$Lake),
function(x){coef(lm(log10(Weight)~log10(Length), data=x))}))

 Thanks for your help, 
 
 SR  
 
 Steven H. Ranney
 Graduate Research Assistant (Ph.D)
 USGS Montana Cooperative Fishery Research Unit
 Montana State University
 PO Box 173460
 Bozeman, MT 59717-3460
 
 phone: (406) 994-6643
 fax:   (406) 994-7479
 
 
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-- 
Chuck Cleland, Ph.D.
NDRI, Inc. (www.ndri.org)
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New York, NY 10010
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