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From |
"Bastian Steingros" <Steingros@gmx.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: easy command for correlation tables??? |

Date |
Mon, 17 Nov 2008 17:01:45 +0100 |

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" <n.j.cox@durham.ac.uk> > An: statalist@hsphsun2.harvard.edu > 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 > n.j.cox@durham.ac.uk > > 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)?? > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ -- "Feel free" - 5 GB Mailbox, 50 FreeSMS/Monat ... Jetzt GMX ProMail testen: http://www.gmx.net/de/go/promail * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: RE: easy command for correlation tables???***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**st: easy command for correlation tables???***From:*"Bastian Steingros" <Steingros@gmx.de>

**st: RE: easy command for correlation tables???***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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