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# scikits.statsmodels.sandbox.graphics.qqplot

`scikits.statsmodels.sandbox.graphics.``qqplot`(data, dist=<scipy.stats.distributions.norm_gen object at 0x01A7CF70>, binom_n=None)

  qqplot of the quantiles of x versus the ppf of a distribution.

  Parameters: | data : array-like 1d data array dist : scipy.stats.distribution or string Compare x against dist. Strings aren’t implemented yet. The default is scipy.stats.distributions.norm
  Returns: | matplotlib figure. :

  Notes

  Only the default arguments currently work. Depends on matplotlib.

  Examples

      >>> import scikits.statsmodels as sm
      >>> from matplotlib import pyplot as plt
      >>> data = sm.datasets.longley.Load()
      >>> data.exog = sm.add_constant(data.exog)
      >>> mod_fit = sm.OLS(data.endog, data.exog).fit()
      >>> res = mod_fit.resid
      >>> std_res = (res - res.mean())/res.std()

  Import qqplots from the sandbox

      >>> from scikits.statsmodels.sandbox.graphics import qqplot
      >>> qqplot(std_res)
      >>> plt.show()

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