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quantile"
In IOHanalyzer: Data Analysis Part of 'IOHprofiler'
Remark: all sample quantiles are defined as weighted averages of consecutive order statistics. Let ${x_1, x_2, \ldots, x_N}$ stands for i.i.d. runtime samples. Sample quantiles are defined as:
$$Q(p) = (1 - \alpha) x_{i:N}+ \alpha x_{i+1:N},$$
TODO this is just a example showing we could explain some detials on the calculations.
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IOHanalyzer documentation built on Sept. 20, 2023, 5:07 p.m.
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Remark: all sample quantiles are defined as weighted averages of consecutive order statistics. Let ${x_1, x_2, \ldots, x_N}$ stands for i.i.d. runtime samples. Sample quantiles are defined as: $$Q(p) = (1 - \alpha) x_{i:N}+ \alpha x_{i+1:N},$$ TODO this is just a example showing we could explain some detials on the calculations.
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R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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