Re: st: RE: cluster analysis with foreach

[Maximiliano Manuel Silva Correa <maxsilvacorrea@gmail.com>]

Greetings gentlemen

and how would go if I save the clsuetr analysis per state, sort to say

foreach s in states{
keep if state == `s'
do the cluster analysis for `s'
save in C\power by state\`s'.dta
}

How is the sintaxis to save a name that is the current macro value??

2010/6/9 Nick Cox <n.j.cox@durham.ac.uk>:
> I have comments on three levels.
>
> First, your example implies that you have two variables, -state- and
> -power_city-. I don't know what real scientific purpose clustering would
> serve here. Clustering on virtually any criterion will just tend to
> group together lots of smaller values of consumption, necessarily more
> similar than others, as larger cities will typically be more spread out
> in what for most if not all states will be very skewed distributions.
>
> Second, you set yourself up for the task of collating 50 or so cluster
> analyses. ("or so" depending on DC, Puerto Rico, etc.)
>
> Third, should you persist, your syntax might be something like
>
> egen group = group(state), label
> su group, meanonly
>
> forval i = 1/`r(max)' {
>        cluster ... if group == `i'
> }
>
> Nick
> n.j.cox@durham.ac.uk
>
> Maximiliano Manuel Silva Correa
>
> Im stuck trying to run a cluster analysis routine throuth diferent
> sections of my data. Suppose we have power consumtion data about
> different cities of the US. What I'd like to do is to run a cluster
> analysis routine (cluster kmeans for example) by state, because i
> would like to see in every state which cities have similar power
> consumtion.
>
> It would be something like
>
> foreach s in states{
>
> cluster(kmeans, power_city)
>
> }
>
> (states is a string variable)
>
> Could someone show me the sintax here, or send similar examples?
>
>
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