- data.frame(x = 1:12)
e - merge(e, d, all.x = T)
e - within(e,
{z3 - cumsum(x^3)
z2 - cumsum(x^2)
z1 - cumsum(x)})
coef(lm(s ~ 0 + z1 + z2 + z3, data = e))
# z1 z2 z3
# 100 10 -1
Peter Ehlers
On 2012-05-22 09:43, Robbie Edwards wrote:
I
points to help define the parameters of
the curve.
thanks again and hopefully this makes the problem a bit clearer.
robbie
On Fri, May 18, 2012 at 7:40 PM, David Winsemius dwinsem...@comcast.netwrote:
On May 18, 2012, at 1:44 PM, Robbie Edwards wrote:
Hi all,
I'm trying to model some data
the y vector by doing
c(s[1], diff(s))
which is identical to y.
So for your data, the underlying y must have been c(109, 1091, 4125,
2891) right?
Or have I completely misunderstood your problem?
Michael
On Tue, May 22, 2012 at 12:25 PM, Robbie Edwards
robbie.edwa...@gmail.com wrote
Hi all,
I'm trying to model some data where the y is defined by
y = summation[1 to 50] B1 * x + B2 * x^2 + B3 * x^3
Hopefully that reads clearly for email.
Anyway, if it wasn't for the summation, I know I would do it like this
lm(y ~ x + x2 + x3)
Where x2 and x3 are x^2 and x^3.
However,
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