Dear R-listers,
I have to explain "y", a continous variable, with two variables
"t" and "p"
which are "factor variables": t is [1:12] and p is [1:18] (a value for
y for
each combination t*p). OK, then I try to adjust models like: y=a_p + b*t (I
mean as many intercepts as levels of p) or y=a_p + b_p*t (as many intercepts
and coefficients for t as levels of p). How is it possible to do that with
GLM? other package?
Thank you for advance, best regards,
EASauleau.
===========================================Erik-Andr? SAULEAU
SEAIM
H?pital du Hasenrain
BP 1070
87, Avenue de Altkirch
68051 MULHOUSE C?dex
Tel: 03-89-64-79-95
M?l: sauleauea at ch-mulhouse.fr
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