def aveForCond(cond, participantData):
correctResponses = []
for row in participantData:
# print("looking at : ",row["offset"])
if row["vib_style"] == str(cond):
correctResponses.append(float(row["correct"]))
return ave(correctResponses)
def aveForOffset(offset, participantData):
correctResponses = []
for row in participantData:
# print("looking at : ",row["offset"])
if row["offset"] == str(offset):
correctResponses.append(float(row["correct"]))
return ave(correctResponses)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
data1 = np.loadtxt("monteavesample.dat")
data2 = np.loadtxt("montemedsample.dat")
stev1 = np.zeros(len(data1))
stev2 = np.zeros(len(data2))
N = np.zeros(len(data1))
for i in range(len(data1)):
stev1[i] = data1[i, 0]
stev2[i] = data2[i, 0]
N[i] = data1[i, 1]
print np.ave(stev1)
plt.plot(N, stev1, label="stdev mean")
plt.plot(N, stev2, label="stdev median")
plt.legend()
#plt.yscale('log')
#plt.xscale('log')
#plt.show()
def aveForCondAndContrast(contrast, cond, participantData):
correctResponses = []
for row in participantData:
if (row["contrast"] == contrast) and (row["vib_style"] == str(cond)):
correctResponses.append(float(row["correct"]))
return ave(correctResponses)
def aveForContrastAndOffset(contrast, offset, participantData):
correctResponses = []
for row in participantData:
if (row["contrast"] == contrast) and (row["offset"] == str(offset)):
correctResponses.append(float(row["correct"]))
return ave(correctResponses)
def ave(x):
"""
average of an array
"""
#return (sum(x)/float(len(x)))
return num.ave(x)
def ave(x):
"""
average of an array
"""
#return (sum(x)/float(len(x)))
return num.ave(x)