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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

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

Date |
Mon, 17 Nov 2008 15:37:05 -0000 |

The examples depend on the auto data, as many will recognise. -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox Sent: 17 November 2008 15:33 To: statalist@hsphsun2.harvard.edu Subject: 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/

**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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