
Hello All,

 This might seem elementary to everyone, but please bear with me. I've 
 just spent some time fitting poly functions to time series data in R 
 using lm() and predict(). I want to analyze the functions once I've 
 fit them to the various data I'm studying. However, after pulling the 
 first function into Octave (just by plotting the polynomial function 
 using fplot() over the same x interval as my original data) I was 
 surprised to see that the scale and y values were vastly different 
 than the ones I have in R. The basic shape of the polynomial over the 
 same interval looks similar in both Octave and R, but the y values are 
 all different. When I compute the y values using the polynomial 
 function by hand, the y values from the Octave plot are returned and 
 not the y values predicted by predict() in R. Can someone explain to 
 me why the values for a function would be different in R? Thanks,
 Chris Carleton 
 
  

   		 	   		  
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