Skip to content

add more sample #84

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
kochigami wants to merge 5 commits into
base: master
Choose a base branch
from
Open

add more sample #84

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
61aed4c
add more sample
kochigami Nov 6, 2017
ade9aac
add sample
kochigami Nov 6, 2017
f90bbb3
add raw data display
kochigami Nov 11, 2017
8809ed1
fix display bug
kochigami Nov 13, 2017
8aa085c
print chi value
kochigami Jan 16, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 13 additions & 6 deletions statistics/src/chi_squared_test_draw_graph.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,9 +12,10 @@ class ChiSquaredTestDrawGraph:
xlabel: string.
ylabel: string.
tight_layout: bool. if execute tight_layout, set True.
mode: string. paried or unpaired
p: float.
"""
def draw_graph(self, data, label, title, xlabel, ylabel, tight_layout=False, p=None):
def draw_graph(self, data, label, title, xlabel, ylabel, tight_layout=False, mode="paired", p=None):
"""
fig: make figure instance
"""
Expand Down Expand Up @@ -59,19 +60,25 @@ def draw_graph(self, data, label, title, xlabel, ylabel, tight_layout=False, p=N
ax = plt.gca()
for i in range(len(y_data1)):
# x, y, displaying y value, width position, height position (va="top": bottom of (x, y))
plt.text(left[i] - 0.02, y_data1[i] / 2.0, (round (y_data1[i] * 100.0)) * 0.01, ha='center', va='top', fontsize=28)
plt.text(left[i] - 0.02, y_data1[i] / 2.0, str(str((round (y_data1[i] * 100.0)) * 0.01) + " ("+ str(data[i][0]) +")"), ha='center', va='top', fontsize=28)

plt.text(left[0] - 0.02, y_data1[i] - (y_data2[0] / 2.0), (round (y_data2[0] * 100.0)) * 0.01, ha='center', va='top', fontsize=28)
# avoid overlapping with legend
plt.text(left[1] - 0.1, y_data1[1] - (y_data2[1] / 2.0), (round (y_data2[1] * 100.0)) * 0.01, ha='center', va='top', fontsize=28)
plt.text(left[0] - 0.02, y_data1[0] + (y_data2[0] / 2.0), str(str((round (y_data2[0] * 100.0)) * 0.01) + " ("+ str(data[0][1]) +")"), ha='center', va='top', fontsize=28)
if y_data1[1] + y_data2[1] * 0.5 > 80.0:
# avoid overlapping with legend
plt.text(left[1] - 0.1, y_data1[1] + (y_data2[1] / 2.0), str(str((round (y_data2[1] * 100.0)) * 0.01) + " ("+ str(data[1][1]) +")"), ha='center', va='top', fontsize=28)
else:
plt.text(left[1] - 0.02, y_data1[1] + (y_data2[1] / 2.0), str(str((round (y_data2[1] * 100.0)) * 0.01) + " ("+ str(data[1][1]) +")"), ha='center', va='top', fontsize=28)
"""
add x label in each bar
"""
plt.xticks(left, label)
"""
add title, label
"""
new_title = title + "\n(N = " + str(data[0][0] + data[0][1] + data[1][0] + data[1][1]) + " for total (" + str(label[0]) + ": " + str(data[0][0] + data[0][1]) + ", " + str(label[1]) + ": " + str(data[1][0] + data[1][1]) + "),\n * p < 0.05, ** p < 0.01)"
if mode == "unpaired":
new_title = title + "\n(N = " + str(data[0][0] + data[0][1] + data[1][0] + data[1][1]) + " for total (" + str(label[0]) + ": " + str(data[0][0] + data[0][1]) + ", " + str(label[1]) + ": " + str(data[1][0] + data[1][1]) + "),\n * p < 0.05, ** p < 0.01)"
elif mode == "paired":
new_title = title + "\n(N = " + str(data[0][0] + data[0][1]) + " for each type, * p < 0.05, ** p < 0.01)"
plt.title(new_title)
plt.xlabel(xlabel)
plt.ylabel(ylabel)
Expand Down
50 changes: 48 additions & 2 deletions statistics/src/sample_chi_squared_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,53 @@
print "python sample_chi_squared_test.py"
else:
d = ChiSquaredTestDrawGraph()
data = np.array([[1625, 5],[1022, 11]])
d.draw_graph(data, ["Condition1", "Condition2"], "test", "x", "y", tight_layout=True)
# Q2 children
#data = np.array([[43, 28],[19, 52]])
# Q2 adults
# data = np.array([[8, 12],[11, 9]])

# enquette
# q1. adults (29), children (27)
#data = np.array([[20, 9],[18, 9]])
# q1. female (30), male (26)
#data = np.array([[21, 9],[17, 9]])

# q2. adults (29), children (27)
#data = np.array([[7, 22],[16, 11]])
# q2. female (30), male (26)
#data = np.array([[15, 15],[8, 18]])

# q3. adults (29), children (27)
#data = np.array([[16, 13],[12, 15]])
# q3. female (30), male (26)
#data = np.array([[16, 14],[12, 14]])

# q4. adults (29), children (27)
#data = np.array([[9, 20],[15, 12]])
# q4. female (30), male (26)
data = np.array([[13, 17],[11, 15]])

# q1. adults-children
# d.draw_graph(data, ["Adults", "Children"], "The ratio of people who want to use a robot which helps doing household chores", "condition", "percentage", tight_layout=True, mode="unpaired")
# q1. female-male
# d.draw_graph(data, ["Female", "Male"], "The ratio of people who want to use a robot which helps doing household chores", "condition", "percentage", tight_layout=True, mode="unpaired")

# q2. adults-children
#d.draw_graph(data, ["Adults", "Children"], "The ratio of people who want to use a robot which can be a companion for its user", "condition", "percentage", tight_layout=True, mode="unpaired")
# q2. female-male
# d.draw_graph(data, ["Female", "Male"], "The ratio of people who want to use a robot which can be a companion for its user", "condition", "percentage", tight_layout=True, mode="unpaired")

# q3. adults-children
# d.draw_graph(data, ["Adults", "Children"], "The ratio of people who want to use a robot which takes care of its user's health", "condition", "percentage", tight_layout=True, mode="unpaired")
# q3. female-male
# d.draw_graph(data, ["Female", "Male"], "The ratio of people who want to use a robot which takes care of its user's health", "condition", "percentage", tight_layout=True, mode="unpaired")

# q4. adults-children
# d.draw_graph(data, ["Adults", "Children"], "The ratio of people who want to use a robot which its user can raise it", "condition", "percentage", tight_layout=True, mode="unpaired")
# q4. female-male
# d.draw_graph(data, ["Female", "Male"], "The ratio of people who want to use a robot which its user can raise it", "condition", "percentage", tight_layout=True, mode="unpaired")

d.draw_graph(data, ["Touch", "Speak"], "The ratio of children who touched or spoke to the robot \n on their own accord", "condition", "percentage", tight_layout=True, mode="paired")
# d.draw_graph(data, ["Touch", "Speak"], "The ratio of adults who touched or spoke to the robot \n on their own accord", "condition", "percentage", tight_layout=True, mode="paired")
# TODO
# draw table