Sent from my phone. Please excuse my brevity.
On December 1, 2016 7:22:37 AM PST, lolo koko <lokomiauw at gmail.com> wrote:
>Hello?
>
>Does anyone know how I can implement the below equation in R? I would
>like to estimate the following equation:
>
> y=beta_ij * (1+gamma_j * dummy) * x_ij
>
>where y is continuous, and all the x variables (j of them) are i=3
>level categorical variables. The intuition is that instead of
>estimating the additive value for a dummy variable, I would like to
>estimate the multiplicative value for the dummy variable. Thus the
>presence of the dummy would scale the beta. Note that for each x
>variable there is only one gamma.
>
>For concreteness, you can imagine that y is a continious test score, x
>are categorical variables indicating different types of education
>achievements, each type of education achievement is categorised in 3
>levels (none, some, a lot), and the dummy indicates race. In this
>model I believe that race affects test scores proportionally to
>estimated beta of each education level. This avoids having to estimate
>a gamma for each education achievement level.
>
>Is the solution to simply use nls {stats} and type out the equation?
>
>Hope the explanation makes sense, happy to explain further.
>
>Best wishes,
>
>Peter
>
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.