iCLIP.random.bootstrap

iCLIP.random.bootstrap(x, bootstraps, fun, *args, **kwargs)

Calculate bootstraps a function operating on a Series.

Draw samples with replacement from x with replacement and apply fun . Do this bootstrap times.

Parameters:
  • x (pandas.Series or pandas.DataFrame) – pandas object to bootstrap and apply function to.
  • bootstraps (int) – How many bootstrap samples to draw
  • fun (func) – Function to apply to the bootstraps resamples of x. x will be passed as the first argument.
  • **kwargs (*args,) –

    Further arguments and keyword arguments passed on to fun.
Returns:

Each entry in the Series will be the result of applying fun to a bootstrap sample from x.
Return type:

pandas.Series of same type as fun(x)

See also

boot_ci()
Calculate confidence intervals by bootstrapping