The bias defaults to False, which means the covariance is calculated with a division by N-1 instead of N. This is what should be used when sampling from a population. If you have data on an entire population, you want the biased estimator which divides by N. For large N this will make very little difference.
(Use at your own risk, I am not a statistician!) -Marshall Hampton On Jul 20, 3:24 pm, Mikie <[email protected]> wrote: > Still working on my Stats server. Is there a function in Scipy that > will calculate the correlation coef.? I have found something that > looks good, but I do not understand the parameters. > > scipy.stats.corrcoef(x,y,rowvar, bias) > > x,y represents the independent, dependent variables, rows, I don't > understand what to use for bias. > > Any help would be appreciated. --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/sage-support URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
