On 20/07/11 07:24, Carson Farmer wrote:
Dear list, I am currently writing up some of my R models in a more
formal sense for a paper, and I am having trouble with the notation.
Although this isn't really an 'R' question, it should help me to
understand a bit better what I am actually doing when fitting my
models!
Using the analysis of co-variance example from MASS (fourth edition, p
142), what is the correct notation for the formula "Gas, ~ Insul/Temp
There shouldn't be a comma after ``Gas'' in that formula.
- 1"? Obviously, if we fit it as two separate models (as in the
example above it), we would have something like y_i = \beta x_i for
each of the two models.
No. y_i = alpha + beta x_i . Clearly you need an intercept.
Do you really expect gas consumption to be nil when the average
external temperature is 0 degrees C ?
So my question is, when we have a single model
with a k-level factor interaction term as in the equation above, what
is the correct/standard statistical (LaTeX style) notation?
The model is simply
y_ij = alpha_i + beta_i x_ij
where i = 1 (before) or 2 (after). I.e. you are allowing a different
slope and intercept
for each of the scenarios (before and after).
But this is the ``deterministic'' part of the model. You should really
include the random
part:
y_ij = alpha_i + beta_i x_ij + E_ij
where the E_ij are independent random variables with mean 0 and common
variance sigma^2. (Often the E_ij are assumed to be Gaussian, mainly
because
if all you have is a hammer, then everything looks like a nail).
cheers,
Rolf Turner
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