Hi Nick,
thanks for your reply.
Do you know why many studies report the pearson and the spearman correlation coefficients?
I have looked in some statistic books but they did not explain well why one should both...
B
-------- Original-Nachricht --------
> Datum: Mon, 17 Nov 2008 15:33:12 -0000
> Von: "Nick Cox" <[email protected]>
> An: [email protected]
> Betreff: st: RE: easy command for correlation tables???
> Martin Weiss made some suggestions.
>
> I have three quite different comments:
>
> 1. -correlate- rather than -spearman- is more closely related to
> properties affecting multiple regression.
>
> 2. With that many variables it is easy to produce a scatter plot matrix
> using -graph matrix-. Mentioning the response (dependent variable in
> your terms) last means that the last row of the matrix has scatter plots
> with the response on the vertical axis:
>
> . graph matrix weight length disp turn mpg
>
> 3. -corrci- from Stata Journal 8(3) 2008 offers an alternative to
> -correlate-. This is the default display:
>
> . corrci mpg weight length turn disp
>
> (obs=74)
>
> correlations and 95% limits
> mpg weight -0.807 -0.874 -0.710
> mpg length -0.796 -0.867 -0.693
> mpg turn -0.719 -0.814 -0.587
> mpg displacement -0.706 -0.804 -0.569
> weight length 0.946 0.915 0.966
> weight turn 0.857 0.782 0.908
> weight displacement 0.895 0.838 0.933
> length turn 0.864 0.792 0.913
> length displacement 0.835 0.750 0.893
> turn displacement 0.777 0.667 0.854
>
> The -ci- stands for confidence interval. -corrci- is dedicated to the
> idea that a confidence interval is often superior to a P-value, just as
> a P-value is usually superior to stars.
>
> -corrci- thus does not support stars, least of all in a non-standard
> scheme like that requested by Bastian (although possibly he did not mean
> what he wrote).
>
> I have already vented my spleen against stars on this list, so I won't
> repeat that in detail here.
>
> <http://www.stata.com/statalist/archive/2007-03/msg00646.html>
>
> Nick
> [email protected]
>
> Bastian Steingros
>
> I want to make a correlation analysis before running some regressions.
>
> I have 4 independent and 1 dependent variable.
> Using the command *spearman*, is it possible to use a further command
> help me to put the result directly into a table (inclusive the
> significance stars * 0.01 ** 0.05)??
>
>
> *
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