def __str__(self):
if self == {}:
return '(no data in object)'
tt_s = TextTable(max_width=0)
tt_s.set_cols_dtype(['t', 'a', 'a', 'a', 'a'])
tt_s.set_cols_align(['l', 'r', 'r', 'r', 'r'])
tt_s.set_deco(TextTable.HEADER)
tt_s.header(['Groups', 'Count', 'Sum', 'Average', 'Variance'])
for g, c, a, v in zip(self.conditions_list, self['ns'], self['mus'],
self['vars']):
tt_s.add_row([g, c, c * a, a, v])
tt_o = TextTable(max_width=0)
tt_o.set_cols_dtype(['t', 'a', 'a', 'a', 'a', 'a', 'a', 'a'])
tt_o.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'r'])
tt_o.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_o.header([
'Source of Variation', 'SS', 'df', 'MS', 'F', 'P-value', 'eta^2',
'Obs. power'
])
tt_o.add_row([
'Treatments', self['o_ssbn'], self['o_dfbn'], self['o_msbn'],
self['o_f'], self['o_p'], self['o_eta2'], self['o_power']
])
tt_o.add_row([
'Error', self['o_sswn'], self['o_dfwn'], self['o_mswn'], ' ', ' ',
' ', ' '
])
tt_o.footer([
'Total', self['o_ssbn'] + self['o_sswn'],
self['o_dfbn'] + self['o_dfwn'], ' ', ' ', ' ', ' ', ' '
])
tt_a = TextTable(max_width=0)
tt_a.set_cols_dtype(['t', 'a', 'a', 'a', 'a', 'a', 'a', 'a'])
tt_a.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'r'])
tt_a.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_a.header([
'Source of Variation', 'SS', 'df', 'MS', 'F', 'P-value', 'eta^2',
'Obs. power'
])
tt_a.add_row([
'Treatments', self['ssbn'], self['dfbn'], self['msbn'], self['f'],
self['p'], self['eta2'], self['power']
])
tt_a.add_row([
'Error', self['sswn'], self['dfwn'], self['mswn'], ' ', ' ', ' ',
' '
])
tt_a.footer([
'Total', self['ssbn'] + self['sswn'], self['dfbn'] + self['dfwn'],
' ', ' ', ' ', ' ', ' '
])
posthoc = ''
if self.posthoc.lower() == 'tukey' and self.multtest != None:
tt_m = TextTable(max_width=0)
tt_m.set_cols_dtype(['t'] + ['a'] * len(self.conditions_list))
tt_m.set_cols_align(['l'] + ['l'] * len(self.conditions_list))
tt_m.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_m.header([''] + sorted(self.conditions_list))
for a in sorted(self.conditions_list):
rline = [a]
for b in sorted(self.conditions_list):
if a == b:
rline.append('0')
elif (a, b) in self.multtest:
q = self.multtest[(a, b)]['q']
sig = self.multtest[(a, b)]['sig']
rline.append('%s %s' % (_str(q), sig))
else:
rline.append(' ')
tt_m.add_row(rline)
tt_m.footer([''] * (len(self.conditions_list) + 1))
q_crit10 = self.multtest[(a, b)]['q_crit10']
q_crit05 = self.multtest[(a, b)]['q_crit05']
q_crit01 = self.multtest[(a, b)]['q_crit01']
k = self.multtest[(a, b)]['q_k']
df = self.multtest[(a, b)]['q_df']
posthoc = 'POSTHOC MULTIPLE COMPARISONS\n\n'
posthoc += 'Tukey HSD: Table of q-statistics\n'
posthoc += tt_m.draw()
posthoc += '\n + p < .10 (q-critical[%i, %i] = %s)' % (k, df,
q_crit10)
posthoc += '\n * p < .05 (q-critical[%i, %i] = %s)' % (k, df,
q_crit05)
posthoc += '\n ** p < .01 (q-critical[%i, %i] = %s)' % (k, df,
q_crit01)
if self.posthoc.lower() == 'snk' and self.multtest != None:
tt_m = TextTable(max_width=0)
tt_m.set_cols_dtype(['t', 'i', 'f', 'a', 'a', 'a', 'a', 't'])
tt_m.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'l'])
tt_m.set_deco(TextTable.HEADER)
tt_m.header(
['Pair', 'i', '|diff|', 'q', 'range', 'df', 'p', 'Sig.'])
for row in self.multtest:
x, y = row[0]
tt_m.add_row(['%s vs. %s' % (x, y)] + [(v, '-')[np.isnan(v)]
for v in row[1:-1]] +
[row[-1]])
posthoc = 'POSTHOC MULTIPLE COMPARISONS\n\n'
posthoc += 'SNK: Step-down table of q-statistics\n'
posthoc += tt_m.draw()
posthoc += '\n + p < .10, * p < .05, ** p < .01, *** p < .001'
return 'Anova: Single Factor on %s\n\n'%self.val + \
'SUMMARY\n%s\n\n'%tt_s.draw() + \
"O'BRIEN TEST FOR HOMOGENEITY OF VARIANCE\n%s\n\n"%tt_o.draw() + \
'ANOVA\n%s\n\n'%tt_a.draw() + \
posthoc
def __str__(self):
if self == {}:
return '(no data in object)'
tt_s = TextTable(max_width=0)
tt_s.set_cols_dtype(['t', 'a', 'a', 'a', 'a'])
tt_s.set_cols_align(['l', 'r', 'r', 'r', 'r'])
tt_s.set_deco(TextTable.HEADER)
tt_s.header( ['Groups','Count','Sum', 'Average','Variance'])
for g, c, a, v in zip(self.conditions_list,
self['ns'],
self['mus'],
self['vars']):
tt_s.add_row([g, c, c * a, a, v])
tt_o = TextTable(max_width=0)
tt_o.set_cols_dtype(['t', 'a', 'a', 'a', 'a', 'a', 'a', 'a'])
tt_o.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'r'])
tt_o.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_o.header( ['Source of Variation','SS','df','MS','F','P-value','eta^2','Obs. power'])
tt_o.add_row(['Treatments',self['o_ssbn'],self['o_dfbn'],
self['o_msbn'],self['o_f'],self['o_p'],
self['o_eta2'],self['o_power']])
tt_o.add_row(['Error', self['o_sswn'],self['o_dfwn'],
self['o_mswn'],' ', ' ',' ', ' '])
tt_o.footer( ['Total',self['o_ssbn']+self['o_sswn'],
self['o_dfbn']+self['o_dfwn'],' ',' ',' ',' ', ' '])
tt_a = TextTable(max_width=0)
tt_a.set_cols_dtype(['t', 'a', 'a', 'a', 'a', 'a', 'a', 'a'])
tt_a.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'r'])
tt_a.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_a.header( ['Source of Variation','SS','df','MS','F','P-value','eta^2','Obs. power'])
tt_a.add_row(['Treatments',self['ssbn'],self['dfbn'],
self['msbn'],self['f'],self['p'],
self['eta2'],self['power']])
tt_a.add_row(['Error', self['sswn'],self['dfwn'],
self['mswn'],' ', ' ',' ', ' '])
tt_a.footer( ['Total',self['ssbn']+self['sswn'],
self['dfbn']+self['dfwn'],' ',' ',' ',' ', ' '])
posthoc = ''
if self.posthoc.lower() == 'tukey' and self.multtest != None:
tt_m = TextTable(max_width=0)
tt_m.set_cols_dtype(['t'] + ['a']*len(self.conditions_list))
tt_m.set_cols_align(['l'] + ['l']*len(self.conditions_list))
tt_m.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_m.header([''] + sorted(self.conditions_list))
for a in sorted(self.conditions_list):
rline = [a]
for b in sorted(self.conditions_list):
if a == b:
rline.append('0')
elif self.multtest.has_key((a,b)):
q = self.multtest[(a,b)]['q']
sig = self.multtest[(a,b)]['sig']
rline.append('%s %s'%(_str(q), sig))
else:
rline.append(' ')
tt_m.add_row(rline)
tt_m.footer(['']*(len(self.conditions_list) + 1))
q_crit10 = self.multtest[(a,b)]['q_crit10']
q_crit05 = self.multtest[(a,b)]['q_crit05']
q_crit01 = self.multtest[(a,b)]['q_crit01']
k = self.multtest[(a,b)]['q_k']
df = self.multtest[(a,b)]['q_df']
posthoc = 'POSTHOC MULTIPLE COMPARISONS\n\n'
posthoc += 'Tukey HSD: Table of q-statistics\n'
posthoc += tt_m.draw()
posthoc += '\n + p < .10 (q-critical[%i, %i] = %s)'%(k, df, q_crit10)
posthoc += '\n * p < .05 (q-critical[%i, %i] = %s)'%(k, df, q_crit05)
posthoc += '\n ** p < .01 (q-critical[%i, %i] = %s)'%(k, df, q_crit01)
if self.posthoc.lower() == 'snk' and self.multtest != None:
tt_m = TextTable(max_width=0)
tt_m.set_cols_dtype(['t', 'i', 'f', 'a', 'a', 'a', 'a', 't'])
tt_m.set_cols_align(['l', 'r', 'r', 'r', 'r', 'r', 'r', 'l'])
tt_m.set_deco(TextTable.HEADER)
tt_m.header(['Pair', 'i', '|diff|', 'q', 'range', 'df', 'p', 'Sig.'])
for row in self.multtest:
x, y = row[0]
tt_m.add_row(['%s vs. %s'%(x, y)] +
[(v,'-')[np.isnan(v)] for v in row[1:-1]] +
[row[-1]])
posthoc = 'POSTHOC MULTIPLE COMPARISONS\n\n'
posthoc += 'SNK: Step-down table of q-statistics\n'
posthoc += tt_m.draw()
posthoc += '\n + p < .10, * p < .05, ** p < .01, *** p < .001'
return 'Anova: Single Factor on %s\n\n'%self.val + \
'SUMMARY\n%s\n\n'%tt_s.draw() + \
"O'BRIEN TEST FOR HOMOGENEITY OF VARIANCE\n%s\n\n"%tt_o.draw() + \
'ANOVA\n%s\n\n'%tt_a.draw() + \
posthoc
def __str__(self):
"""Returns human readable string representation of ChiSquare2way"""
if self == {}:
return '(no data in object)'
# SUMMARY
tt_s = TextTable(max_width=0)
tt_s.set_cols_dtype(['t'] + ['a'] * (self.N_c + 1))
tt_s.set_cols_align(['l'] + ['r'] * (self.N_c + 1))
tt_s.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_s.header([' '] + sorted(self.col_counter) + ['Total'])
for r, rv in sorted(self.row_counter.items()):
line = [r]
for c, cv in sorted(self.col_counter.items()):
o = self.counter[(r, c)]
e = (rv * cv) / self['N']
line.append('%s\n(%s)' % (_str(o), _str(e)))
line.append(rv)
tt_s.add_row(line)
tt_s.footer(['Total'] +
[v for c, v in sorted(self.col_counter.items())] +
[self['N']])
# SYMMETRIC TESTS
tt_sym = TextTable(max_width=0)
tt_sym.set_cols_dtype(['t', 'a', 'a'])
tt_sym.set_cols_align(['l', 'r', 'r'])
tt_sym.set_deco(TextTable.HEADER)
tt_sym.header(['', 'Value', 'Approx.\nSig.'])
tt_sym.add_row(["Cramer's V", self['CramerV'], self['CramerV_prob']])
tt_sym.add_row(["Contingency Coefficient", self['C'], self['C_prob']])
tt_sym.add_row(["N of Valid Cases", self['N'], ''])
# CHI-SQUARE TESTS
tt_a = TextTable(max_width=0)
tt_a.set_cols_dtype(['t', 'a', 'a', 'a'])
tt_a.set_cols_align(['l', 'r', 'r', 'r'])
tt_a.set_deco(TextTable.HEADER)
tt_a.header([' ', 'Value', 'df', 'P'])
tt_a.add_row(
['Pearson Chi-Square', self['chisq'], self['df'], self['p']])
if self['ccchisq'] != None:
tt_a.add_row([
'Continuity Correction', self['ccchisq'], self['df'],
self['ccp']
])
tt_a.add_row(
['Likelihood Ratio', self['lnchisq'], self['df'], self['lnp']])
tt_a.add_row(["N of Valid Cases", self['N'], '', ''])
# POWER
tt_p = TextTable(max_width=0)
tt_p.set_cols_dtype(['t', 'a'])
tt_p.set_cols_align(['l', 'r'])
tt_p.set_deco(TextTable.HEADER)
tt_p.header(['Measure', ' '])
tt_p.add_row(['Effect size w', self['w']])
tt_p.add_row(['Non-centrality lambda', self['lambda']])
tt_p.add_row(['Critical Chi-Square', self['crit_chi2']])
tt_p.add_row(['Power', self['power']])
return 'Chi-Square: two Factor\n\n' + \
'SUMMARY\n%s\n\n'%tt_s.draw() + \
'SYMMETRIC MEASURES\n%s\n\n'%tt_sym.draw() + \
'CHI-SQUARE TESTS\n%s\n\n'%tt_a.draw() + \
'CHI-SQUARE POST-HOC POWER\n%s'%tt_p.draw()
def __str__(self):
"""Returns human readable string representation of ChiSquare2way"""
if self == {}:
return '(no data in object)'
# SUMMARY
tt_s = TextTable(max_width=0)
tt_s.set_cols_dtype(['t'] + ['a']*(self.N_c + 1))
tt_s.set_cols_align(['l'] + ['r']*(self.N_c + 1))
tt_s.set_deco(TextTable.HEADER | TextTable.FOOTER)
tt_s.header( [' '] + sorted(self.col_counter) + ['Total'])
for r, rv in sorted(self.row_counter.items()):
line = [r]
for c, cv in sorted(self.col_counter.items()):
o = self.counter[(r,c)]
e = (rv*cv)/self['N']
line.append('%s\n(%s)'%(_str(o), _str(e)))
line.append(rv)
tt_s.add_row(line)
tt_s.footer(['Total'] +
[v for c,v in sorted(self.col_counter.items())] +
[self['N']])
# SYMMETRIC TESTS
tt_sym = TextTable(max_width=0)
tt_sym.set_cols_dtype(['t', 'a', 'a'])
tt_sym.set_cols_align(['l', 'r', 'r'])
tt_sym.set_deco(TextTable.HEADER)
tt_sym.header(['','Value','Approx.\nSig.'])
tt_sym.add_row(["Cramer's V", self['CramerV'], self['CramerV_prob']])
tt_sym.add_row(["Contingency Coefficient", self['C'], self['C_prob']])
tt_sym.add_row(["N of Valid Cases", self['N'], ''])
# CHI-SQUARE TESTS
tt_a = TextTable(max_width=0)
tt_a.set_cols_dtype(['t', 'a', 'a', 'a'])
tt_a.set_cols_align(['l', 'r', 'r', 'r'])
tt_a.set_deco(TextTable.HEADER)
tt_a.header([' ', 'Value', 'df', 'P'])
tt_a.add_row(['Pearson Chi-Square',
self['chisq'], self['df'], self['p']])
if self['ccchisq'] != None:
tt_a.add_row(['Continuity Correction',
self['ccchisq'], self['df'], self['ccp']])
tt_a.add_row(['Likelihood Ratio',
self['lnchisq'], self['df'], self['lnp']])
tt_a.add_row(["N of Valid Cases", self['N'], '', ''])
# POWER
tt_p = TextTable(max_width=0)
tt_p.set_cols_dtype(['t', 'a'])
tt_p.set_cols_align(['l', 'r'])
tt_p.set_deco(TextTable.HEADER)
tt_p.header( ['Measure',' '])
tt_p.add_row(['Effect size w', self['w']])
tt_p.add_row(['Non-centrality lambda', self['lambda']])
tt_p.add_row(['Critical Chi-Square', self['crit_chi2']])
tt_p.add_row(['Power', self['power']])
return 'Chi-Square: two Factor\n\n' + \
'SUMMARY\n%s\n\n'%tt_s.draw() + \
'SYMMETRIC MEASURES\n%s\n\n'%tt_sym.draw() + \
'CHI-SQUARE TESTS\n%s\n\n'%tt_a.draw() + \
'CHI-SQUARE POST-HOC POWER\n%s'%tt_p.draw()
