expyriment.design.randomize
This is an alias of the expyriment randomise module.
Functions
- expyriment.design.randomize.coin_flip(head_bias=0.5)
Return randomly True (head) or False (tail).
- Parameters:
- head_biasnumeric, optional
bias in favor of head (default=0.5, fair coin)
- Returns:
- rndbool
- expyriment.design.randomize.make_multiplied_shuffled_list(list_, xtimes)
Return the multiplied and shuffled (sectionwise) list.
The function manifolds the list ‘x times’ and shuffles each and concatenates to the return new lists.
- Parameters:
- list_list
list to be shuffled
- xtimesint
how often the list will be multiplied. If xtimes==0, an empty list will be returned.
- expyriment.design.randomize.rand_element(list_)
Return a random element from a list
- Parameters:
- list_list
- Returns:
- elema random element from the list
- expyriment.design.randomize.rand_int(a, b)
Return random integer in given range.
- Parameters:
- aint
first element of range
- bint
last element of range
- Returns:
- rndint
- expyriment.design.randomize.rand_int_sequence(first_elem, last_elem)
Return a randomised sequence of integers in given range.
- Parameters:
- first_elemint
first element of the range
- last_elemint
last element of the range
- Returns:
- rnd_seqlist
randomised sequence of integers in given range
- expyriment.design.randomize.rand_norm(a, b, mu=None, sigma=None)
Normally distributed random number in given range.
- Parameters:
- anumeric
lowest number in range
- bnumeric
highest number in range
- munumeric, optional
distribution mean, default: mid point of the interval [a, b]
- sigmanumeric, optional
distribution standard deviation, default: (b-a)/6.0
- Returns:
- rndnumeric
- expyriment.design.randomize.shuffle_list(list_, max_repetitions=-1, n_segments=0)
Shuffle any list of objects. In place randomisation of the list.
- Parameters:
- list_list
the list to shuffle; if not a list, TypeError is raised
- max_repetitionsint, optional
maximum number of allowed repetitions of one identical items; if no solution can be found (i.e., Python’s recursion limit is reached), the function returns False and the list will be randomised without constrains (see Notes); default = -1
- n_segmentsint, optional
randomise list per segment, i.e., list will be divided into n equal sized segments and the order of elements within each segment will be randomised; if n_segments is < 2, this parameter has no effect; default = 0
- Returns:
- successbool
returns if randomisation was successful and fulfilled the specified constrains (see max_repetitions)
Notes
When shuffling lists of trials or blocks, IDs and added stimuli will be ignored to determine repetitions, because trial or block comparisons are based on the compare method (see documentation of Trial or Block).