expyriment.misc.statistics

The statistics module.

This module contains miscellaneous statistical functions for expyriment.

Functions

expyriment.misc.statistics.frequency_table(data)

Returns the frequency table of the data as dictionary.

Parameters:

datalist

list of numerical data

Returns:

outdict

dict.keys : values, dict.values : frequencies

expyriment.misc.statistics.mean(data)

Returns the mean of data.

Parameters:

datalist

list of numerical data

Returns:

outfloat 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)

Returns the median of data.

Parameters:

datalist

list of numerical data

Returns:

outfloat 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)

Returns the mode, that is, the most frequent value in data.

Parameters:

datalist

list of numerical data

Returns:

outfloat or None

expyriment.misc.statistics.std(data)

Returns the standard deviation of data.

Parameters:

datalist

list of numerical data

Returns:

outfloat 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.sum(data)

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:

datalist

list of numerical data

Returns:

outfloat or None

expyriment.misc.statistics.variance(data)

Returns the variance of data.

Parameters:

datalist

list of numerical data

Returns:

outfloat 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.