weight_reason: Weighting method: Total number of judgement reasons

In aggreCAT: Mathematically Aggregating Expert Judgments

Weighting method: Total number of judgement reasons

Description

This function is used by ReasoningWAgg to weighting functions for the aggregation type "ReasonWAgg". Calculates weights based on the number of judgement reasoning methods used by an individual

Usage

weight_reason(expert_reasons)

Arguments

expert_reasons

A dataframe in the form of data_supp_reasons

Details

Individuals' weight is equal to the maximum number of judgement reasons given

Value

A tibble of three columns paper_id, user_name, and reason_count

See Also

Other weighting functions: weight_asym(), weight_interval(), weight_nIndivInterval(), weight_outlier(), weight_reason2(), weight_varIndivInterval()

aggreCAT documentation built on May 4, 2026, 5:07 p.m.