def crystal_statistics(label, crystals, value_func, header=False, footer=False):
sorted_crystals = sorted(crystals, key=value_func)
sorted_values = flex.double([value_func(c) for c in crystals])
min_max_mean = sorted_values.min_max_mean()
stddev = sorted_values.sample_standard_deviation()
hinges = robust_statistics.hinges(sorted_values)
median = robust_statistics.median(sorted_values)
s_out = []
if header: s_out += [format_row(cols=['Min', 'Lower Quartile', 'Median', 'Upper Quartile', 'Max', 'Mean', 'Standard Dev'], row=' ', header=True)]
s_out += [format_row(cols=[min_max_mean.min, hinges[0], median, hinges[1], min_max_mean.max, min_max_mean.mean, stddev], row=label, header=False)]
if footer: s_out += [format_row(cols=['Min', 'Lower Quartile', 'Median', 'Upper Quartile', 'Max', 'Mean', 'Standard Dev'], row=' ', header=True)]
return '\n'.join(s_out)
def tst_median():
x = flex.double(range(10))
assert rs.median(x) == 4.5
x = flex.double(range(11))
assert rs.median(x) == 5.0
def tst_percentile():
n = 10
x = flex.double(range(n))
assert rs.percentile(x, 0.50) == rs.median(x)
def tst_trimean():
n = 13
x = flex.double(range(n))
assert rs.trimean(x) == rs.median(x)
def tst_median(): x = flex.double(range(10)) assert rs.median(x)==4.5 x = flex.double(range(11)) assert rs.median(x)==5.0
def tst_percentile(): n = 10 x = flex.double(range(n)) assert rs.percentile(x,0.50) == rs.median(x)
def tst_trimean(): n = 13 x = flex.double(range(n)) assert rs.trimean(x) == rs.median(x)