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On Thu, Dec 18, 2008 at 2:30 PM, Timmie <timmichelsen@gmx-topmail.de> wrote:
Hello, although there were many explanations, I am still trying to find the right correlations function.
When I import my data in excel or openoffice calc and apply the correlation function (=correlate) there, I get a totally different result (+0.9) than with np.correlate( 5e+23). I am not shure whether a) I am still using the wrong function in numpy/scipy b) the excel-calulations are wrong. But I am pretty sure that they are not because Openoffice Calc gives the same results.
A hint is very welcome here.
There was an earlier discussion here:
Regression report like in Excel - http://article.gmane.org/gmane.comp.python.scientific.user/9537
But since the sandbox has gone...
Thanks in advance, Timmie
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If you are looking for the correlation coefficient and covariance, than the function is numpy.corrcoef(x, y=None, rowvar=1, bias=0) np.correlate does not calculate a correlation coefficient. Currently there are no convenience wrappers for statistical models included in scipy, but they will come back and get included once they are cleaned up enough. For ols, there is a good example in the scipy cookbook that calculates many regression diagnostics and prints a useful summary. Josef