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st: comparing the values at different observations

From   sarah smith <[email protected]>
To   [email protected]
Subject   st: comparing the values at different observations
Date   Sun, 17 Jul 2005 18:24:53 -0400

Dear STATA users,

I wonder how I can compare the values of a variable, say var1, at
different observations? (In particular I want to the regression below)

while var1(at line 2) = var1(at line 10 ) {

regress y x in 2/10

Thanks for suggestions, 

On 7/17/05, Allan Garland <[email protected]> wrote:
> Is there a relatively easy way to implement a hierarchical cluster
> analysis in Stata 9 on the variables (not the observations), using a
> different measure of distance between the variables?
> The "clv" program appears to use an approach to assessing the distances
> similar to that of principal components.  Using the built-in cluster
> commands on the variables requires transposing the rows and columns of
> the data.  I looked at that routine and it wasn't simple enough (for me)
> to see how to alter Jean-Benoit Hardouin's code to do this (I'm an
> intermediate at program writing).
> In any case, what I want to implement in Stata is what Frank Harrell
> describes in his textbook (FE Harrell Jr. (2001). Regression Modeling
> Strategies. New York, Springer) where he promotes the value of doing HCA
> (for data reduction) using as a measure of distance/similarity between
> variables the Hoeffding's D (W Hoeffding. A Non-Parametric Test of
> Independence. Annals of Mathematical Statistics 19(4):546-557, 1948).
> I've written code that calculates the matrix of D's between all pairs of
> variables, and am HOPING that someone can point me in the direction of
> Stata programming code that will let me do something simple --- i.e.
> just plug the matrix of D's in and thus obtain a HCA.
> Any ideas would be most welcome.
> Allan Garland
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