Python plot Examples

Example #1

# -*- coding: utf-8 -*-
"""
=============================
Plot Lag-CRP
=============================

This example plots a Lag-CRP as described in Kahana et al (1996).
Given the recall of a stimulus in position n, this plot shows the probability of
recalling stimuli in neighboring stimulus positions (n+/-5).

"""

# Code source: Andrew Heusser
# License: MIT

#import
import quail

#load data
egg = quail.load_example_data()

#analysis
analyzed_data = quail.analyze(egg,
                              analysis='lagcrp',
                              listgroup=['average'] * 8)

#plot
quail.plot(analyzed_data, title='Lag-CRP')

Example #2

File: plot_pfr.py Project: mkclairhong/quail

# -*- coding: utf-8 -*-
"""
=============================
Plot probability of first recall
=============================

This example plots the probability of an item being recalled first given its
list position.

"""

# Code source: Andrew Heusser
# License: MIT

# import
import quail

#load data
egg = quail.load_example_data()

# analysis
analyzed_data = quail.analyze(egg, analysis='pfr', listgroup=['average'] * 8)

# plot
quail.plot(analyzed_data, title='Probability of First Recall')

Example #3

File: plot_fingerprint.py Project: mkclairhong/quail

"""
=============================
Plot memory fingerprint
=============================

This example plots a fingerprint.  Briefly, a fingerprint
can be described as a summary of how a subject organizes information with
respect to the multiple features of the stimuli.  In addition to presentation
and recall data, a features object is passed to the Egg class.  It is comprised
of a dictionary for each presented stimulus that contains feature dimensions and
values for each stimulus.

"""

# Code source: Andrew Heusser
# License: MIT

#import
import quail

#load data
egg = quail.load_example_data()

# analysis
analyzed_data = quail.analyze(egg,
                              analysis='fingerprint',
                              listgroup=['average'] * 8)

# plot
quail.plot(analyzed_data, title='Memory Fingerprint')

Example #4

File: plot_accuracy.py Project: mkclairhong/quail

# -*- coding: utf-8 -*-
"""
=============================
Plot free recall accuracy
=============================

This example plots free recall accuracy for a single subject.

"""

# Code source: Andrew Heusser
# License: MIT

#import
import quail

#load data
egg = quail.load_example_data()

#analysis
analyzed_data = quail.analyze(egg, analysis='accuracy', listgroup=['condition1']*4+['condition2']*4)

#plot by list
quail.plot(analyzed_data, plot_style='violin', title='Average Recall Accuracy')

Example #5

File: plot_spc.py Project: mkclairhong/quail

# -*- coding: utf-8 -*-
"""
=============================
Plot serial position curve
=============================

This example plots the probability of recall success as a function of serial
position during stimulus encoding.

"""

# Code source: Andrew Heusser
# License: MIT

# import
import quail

#load data
egg = quail.load_example_data()

#analysis
analyzed_data = quail.analyze(egg, analysis='spc', listgroup=['average'] * 8)

#plot
quail.plot(analyzed_data, title='Serial Position Curve')

Example #6

File: plot_temporal.py Project: mkclairhong/quail

# -*- coding: utf-8 -*-
"""
=============================
Plot temporal clustering
=============================

This example plots temporal clustering, the extent to which subject tend to
recall neighboring items sequentially.

"""

# Code source: Andrew Heusser
# License: MIT

# import
import quail

#load data
egg = quail.load_example_data()

#analysis
analyzed_data = quail.analyze(egg,
                              analysis='temporal',
                              listgroup=['early'] * 4 + ['late'] * 4)

#plot
quail.plot(analyzed_data, title='Temporal Clustering')