On 29/09/2009, at 10:52 AM, chris carleton wrote:
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
Presumably because you were using poly() with the argument "raw" left
equal to its default, i.e. FALSE.
cheers,
Rolf Turner
P. S. The posting guide asks for reproducible examples .....
R. T.
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