Connection
Base URL, credentials and a reachable server.
Product
Product features · Average ranks for ties
01
RankTrell helps inspect tied observations without rearranging the source data, checking that each original position receives the mean rank of its tie group.
Selection
A model available through the configured endpoint.
Capabilities
Context limits and tool support are determined by the model and server.
Average ranks for ties
● ● ●RankTrell●
A concrete starting point · Average ranks for ties ×
from math import isfinite
def average_ranks(values):
if type(values) not in (list, tuple) or len(values) > 1000:
raise ValueError("values.container")
values = tuple(values)
if len(values) > 1000 or any(
type(v) not in (int, float) or
(type(v) is float and not isfinite(v)) for v in values
):
raise ValueError("values.invalid")
order = sorted(range(len(values)), key=values.__getitem__)
result = [0.0] * len(values)
first = 0
while first < len(order):
end = first + 1
while end < len(order) and values[order[end]] == values[order[first]]:
end += 1
rank = (first + 1 + end) / 2
for i in order[first:end]:
result[i] = rank
first = end
return result✳Assign one-based average ranks to at most 1000 finite numeric values while preserving their input positions.
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