expyriment.misc.statistics¶
The statistics module.
This module contains miscellaneous stastistical functions for expyriment.
- expyriment.misc.statistics.frequence_table(data)[source]¶
Returns the frequency table of the data as dictionary.
Parameters : data : list
list of numerical data
Returns : out : dict
dict.keys : values, dict.values : frequencies
- expyriment.misc.statistics.mean(data)[source]¶
Returns the mean of data.
Parameters : data : list
list of numerical data
Returns : out : float or None
Notes
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
- expyriment.misc.statistics.median(data)[source]¶
Returns the median of data.
Parameters : data : list
list of numerical data
Returns : out : float or None
Notes
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
- expyriment.misc.statistics.mode(data)[source]¶
Returns the mode, that is, the most frequent value in data.
Parameters : data : list
list of numerical data
Returns : out : float or None
- expyriment.misc.statistics.sum(data)[source]¶
Returns the sum of data.
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
Parameters : data : list
list of numerical data
Returns : out : float or None
Functions¶
- expyriment.misc.statistics.frequence_table(data)[source]
Returns the frequency table of the data as dictionary.
Parameters : data : list
list of numerical data
Returns : out : dict
dict.keys : values, dict.values : frequencies
- expyriment.misc.statistics.mean(data)[source]
Returns the mean of data.
Parameters : data : list
list of numerical data
Returns : out : float or None
Notes
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
- expyriment.misc.statistics.median(data)[source]
Returns the median of data.
Parameters : data : list
list of numerical data
Returns : out : float or None
Notes
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
- expyriment.misc.statistics.mode(data)[source]
Returns the mode, that is, the most frequent value in data.
Parameters : data : list
list of numerical data
Returns : out : float or None
- expyriment.misc.statistics.sum(data)[source]
Returns the sum of data.
The function ignores all non-numerical elements in the data and returns None if no numerical element has been found. In contrast to standard math and numpy functions, this function is robust against type violations.
Parameters : data : list
list of numerical data
Returns : out : float or None
