EffectSizes.jl

A Julia package for effect size measures
Author harryscholes
Popularity
1 Star
Updated Last
6 Months Ago
Started In
April 2019

EffectSizes.jl

Stable Dev Build Status Codecov

EffectSizes.jl is a Julia package for effect size measures. Confidence intervals are assigned to effect sizes using the Normal distribution or by bootstrap resampling.

The package implements types for the following measures:

Measure Type
Cohen's d CohenD
Hedge's g HedgeG
Glass's Δ GlassΔ

Installation

] add https://github.com/harryscholes/EffectSizes.jl

Examples

julia> using Random, EffectSizes; Random.seed!(1);

julia> xs = randn(10^3);

julia> ys = randn(10^3) .+ 0.5;

julia> es = CohenD(xs, ys, quantile=0.95); # normal CI (idealised distribution)

julia> typeof(es)
CohenD{Float64,ConfidenceInterval{Float64}}

julia> effectsize(es)
-0.507…

julia> quantile(es)
0.95

julia> ci = confint(es);

julia> typeof(ci)
ConfidenceInterval{Float64}

julia> confint(ci)
(-0.924…, -0.0889…)

julia> es = CohenD(xs, ys, 10^4, quantile=0.95); # bootstrap CI (empirical distribution)

julia> effectsize(es) # effect size is the same
-0.507…

julia> typeof(es)
CohenD{Float64,BootstrapConfidenceInterval{Float64}}

julia> ci = confint(es); # confidence interval is different

julia> lower(ci)
-0.597…

julia> upper(ci)
-0.418

Contributing

Ideas and PRs are very welcome.

Used By Packages

No packages found.