class_docstr: Class for averaging onset evaluations.
class_docstr_tok: ["Class","for","averaging","onset","evaluations","."]
docstr: Standard deviation of the errors.
docstr_tok: ["Standard","deviation","of","the","errors","."]
code: def std_error(self):
      """Standard deviation of the errors."""
      return np.nanmean([e.std_error for e in self.eval_objects])
  
imports: from __future__ import absolute_import, division, print_function
  import numpy
  from .None import Evaluation, MeanEvaluation, SumEvaluation, evaluation_io
  from ..io import load_onsets
  from ..utils import combine_events
label_desc: Use image node_id 2 for calling the OnsetMeanEvaluation obj's underlying member method code with example usage: obj.std_error() and returns: np