Add ability to display p/t-value below coefficient

[gaulinmp]

This small changes adds an easy way of changing SE below coefficients in parentheses to p-value or t-stat. The change is pretty minor, adding two convenience functions:

out = Stargazer([est1])
out.show_pvalues() # pvalues from RegressionResultsWrapper
out.show_tvalues() # tvalues from RegressionResultsWrapper

[toobaz]

Can you clarify what is the problem?

[gaulinmp]

Including this was oversight from me, it's a local change on my part that I didn't mean to include it in the t/p stat PR. This code does the same thing as sorted(set()) (removing duplicates) but doesn't sort the covariates, so the output order will be the same as the input order. I'll remove this change.

[toobaz]

Thanks

[toobaz]

Thanks for your PR: I like the general idea, happy to merge if you can better harmonize with existing code (see comments).

[toobaz]

I understand that this approach is very clean, but given that in the future we would ideally allow to combine confidence intervals, standard errors and p-values, please add a new "else" clause for the latter.

[gaulinmp]

As in elif self.p_values (where, say, self.p_values is a flag like self.confidence_intervals)? I guess I don't understand what you mean, is there code for combining these three I can pattern off of?

[toobaz]

elif self.sig_stat == ... is also OK, as you prefer.

[toobaz]

This method makes sense... as long as it also reverts back show_confidence_intervals

[gaulinmp]

As in add self.show_convidence_intervals(False)? That makes sense, seems obvious in hindsight.

[toobaz]

The ideal behavior would be that self.show_*(True) shows only what is being asked, while self.show_*(False) removes what is being asked if it is currently shown, and has no effect otherwise. I think what you're suggesting works.