Re: [R] How to do a trig regression

2010-09-24 Thread Aaditya Nanduri
Thank you all very much for your help.

Unfortunately I do not have the data to test out the ideas suggested but I
was able to find a good approximation using another software package. I will
try to get the data for this problem so I can find out how to do it in R as
I am very much interested in the process.

@Dennis : Indeed, its the c that causes the problem. Without the c, solving
this would be a very easy thing.

On Mon, Sep 13, 2010 at 12:01 PM, Greg Snow greg.s...@imail.org wrote:

 Without the square term you can just use the rule for addition in sines:

 sin(a+b) = sin(a)cos(b) + cos(a)sin(b)

 So a regression of y= a + b* sin(2*pi/360*x + c) can be fit as:

 lm( y~ sin( 2*pi/360*x) + cos( 2*pi/360/x ) )

 If you need the actual values of b and c then you will need to do a little
 algebra.

 The same idea may be sufficient for your formula (or at least a close
 approximation), or you could switch to nonlinear fits using the nls function
 and fit your formula directly.

 --
 Gregory (Greg) L. Snow Ph.D.
 Statistical Data Center
 Intermountain Healthcare
 greg.s...@imail.org
 801.408.8111


  -Original Message-
  From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
  project.org] On Behalf Of Aaditya Nanduri
  Sent: Sunday, September 12, 2010 8:23 PM
  To: r-help@r-project.org
  Subject: [R] How to do a trig regression
 
  Hello All,
 
  I cant seem to do a trig regression in R.
 
  The equation is as follows : y = a+b*(sin((2*pi*x/360) - c))^2
 
  a, b, c are coefs that I want.
  y, x are input vectors.
 
  The equation I put into R: lm(y ~ sin(2*pi*x/360)^2)
  This equation is missing the c and I dont get the right answer.
 
  Also, I dont know how to plot the lm over the x values instead of the
  indices.
 
  Any help is sincerely appreciated.
  Thank you all very much.
 
  --
  Aaditya Nanduri
  aaditya.nand...@gmail.com
 
[[alternative HTML version deleted]]
 
  __
  R-help@r-project.org mailing list
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  and provide commented, minimal, self-contained, reproducible code.




-- 
Aaditya Nanduri
aaditya.nand...@gmail.com

[[alternative HTML version deleted]]

__
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Re: [R] How to do a trig regression

2010-09-13 Thread Greg Snow
Without the square term you can just use the rule for addition in sines:

sin(a+b) = sin(a)cos(b) + cos(a)sin(b)

So a regression of y= a + b* sin(2*pi/360*x + c) can be fit as:

lm( y~ sin( 2*pi/360*x) + cos( 2*pi/360/x ) )

If you need the actual values of b and c then you will need to do a little 
algebra.

The same idea may be sufficient for your formula (or at least a close 
approximation), or you could switch to nonlinear fits using the nls function 
and fit your formula directly.

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111


 -Original Message-
 From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
 project.org] On Behalf Of Aaditya Nanduri
 Sent: Sunday, September 12, 2010 8:23 PM
 To: r-help@r-project.org
 Subject: [R] How to do a trig regression
 
 Hello All,
 
 I cant seem to do a trig regression in R.
 
 The equation is as follows : y = a+b*(sin((2*pi*x/360) - c))^2
 
 a, b, c are coefs that I want.
 y, x are input vectors.
 
 The equation I put into R: lm(y ~ sin(2*pi*x/360)^2)
 This equation is missing the c and I dont get the right answer.
 
 Also, I dont know how to plot the lm over the x values instead of the
 indices.
 
 Any help is sincerely appreciated.
 Thank you all very much.
 
 --
 Aaditya Nanduri
 aaditya.nand...@gmail.com
 
   [[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.

__
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] How to do a trig regression

2010-09-12 Thread Aaditya Nanduri
Hello All,

I cant seem to do a trig regression in R.

The equation is as follows : y = a+b*(sin((2*pi*x/360) - c))^2

a, b, c are coefs that I want.
y, x are input vectors.

The equation I put into R: lm(y ~ sin(2*pi*x/360)^2)
This equation is missing the c and I dont get the right answer.

Also, I dont know how to plot the lm over the x values instead of the
indices.

Any help is sincerely appreciated.
Thank you all very much.

-- 
Aaditya Nanduri
aaditya.nand...@gmail.com

[[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] How to do a trig regression

2010-09-12 Thread David Winsemius


On Sep 12, 2010, at 10:23 PM, Aaditya Nanduri wrote:


Hello All,

I cant seem to do a trig regression in R.

The equation is as follows : y = a+b*(sin((2*pi*x/360) - c))^2

a, b, c are coefs that I want.
y, x are input vectors.

The equation I put into R: lm(y ~ sin(2*pi*x/360)^2)
This equation is missing the c and I dont get the right answer.


Take a look at section 2.3 of:

http://www.statoek.wiso.uni-goettingen.de/veranstaltungen/zeitreihen/sommer03/ts_r_intro.pdf

Or consider using time series or nonlinear modeling.


Also, I dont know how to plot the lm over the x values instead of the
indices.


Without an example of your data and what you tried it is difficult to  
intuit what problems you may be facing.


--
David.


Any help is sincerely appreciated.
Thank you all very much.

--
Aaditya Nanduri
aaditya.nand...@gmail.com

[[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.


__
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.