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Model formula question

4 messages · Ronaldo Prati, Heather Turner

Ronaldo Prati
# 
Hi all,

I'm not familiar with R programming and I'm trying to reproduce a
result from a paper.

Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)

y_1 = y1,

y_2 = y1 + delta1,

y_3 = y1 + delta1 + delta2.

...

y_m = y1 + sum_2^m delta j

where delta_j donote successive increments in the y-values, i.e.

delta j = y_j - y_(j-1).

In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like this:

^y_1 = a1

^y_2 = a1 + k2**u

^y_3 = a1 + k2**u + k3**u

...

^y_m = a1 + k2**u + k3**u + ... + km**u

or, generically

^yi = a1 + k * sum_j=2^i  j**u

and I need to fit a non-linear least-squares regression model to find
the tripplet a1,k,u. I had a look to the gnm package, but I don't have
the lesser idea how to formulate this problem to use this package. Can
someone help me with that?

cheers,

Ronaldo
Ronaldo Prati
# 
Hi all,

I'm not familiar with R programming and I'm trying to reproduce a
result from a paper.

Basically, I have a dataset which I would like to model in terms of
successive increments, i.e. (y denote empirical values of y)

y_1 = y1,

y_2 = y1 + delta1,

y_3 = y1 + delta1 + delta2.

...

y_m = y1 + sum_2^m delta j

where delta_j donote successive increments in the y-values, i.e.

delta j = y_j - y_(j-1).

In order to estimate y-values, I'm assuming that delta j is
approximately equal to kj**u, such that my regression model should be
something like this:

^y_1 = a1

^y_2 = a1 + k2**u

^y_3 = a1 + k2**u + k3**u

...

^y_m = a1 + k2**u + k3**u + ... + km**u

or, generically

^yi = a1 + k * sum_j=2^i  j**u

and I need to fit a non-linear least-squares regression model to find
the tripplet a1,k,u. I had a look to the gnm package, but I don't have
the lesser idea how to formulate this problem to use this package. Can
someone help me with that?

cheers,

Ronaldo