Hedges_g: Hedges' g

In bassam-abulnoor/TestDimorph: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics

Description

quantifies the size of difference between sexes in measured traits.

Usage

Hedges_g(x, Trait = 1, CI = 0.95, B = NULL, rand = TRUE, digits = 4)

Arguments

x	A data frame containing summary statistics.
Trait	Number of the column containing names of measured parameters, Default: 1
CI	confidence interval coverage takes value from 0 to 1, Default: 0.95.
B	number of bootstrap samples for generating confidence intervals. Higher number means greater accuracy but slower execution. If NULL bootstrap confidence intervals are not produced, Default:NULL
rand	logical; if TRUE, uses random seed. If FALSE, then set.seed(42) for repeatability, Default: TRUE
digits	Number of significant digits, Default: 4

Details

Calculates Hedges' (1981) g and its confidence intervals using the pooled standard deviation and correcting for bias. See Goulet-Pelletier and Cousineau (2018) for details of the calculations and D_index for description of the bootstrap.

Value

a table of Hedge's g values with confidence interval for different traits.

References

Hedges, L. V. (1981). Distribution theory for Glass's estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107-128.

Goulet-Pelletier, J.-C., & Cousineau, D. (2018). A review of effect sizes and their confidence intervals, part I: The Cohen's d family. The Quantitative Methods for Psychology, 14(4), 242-265.

Examples

library(TestDimorph)
data("Cremains_measurements")
# Confidence intervals with non-central t distribution
Hedges_g(Cremains_measurements[1, ])
## Not run: 
# confidence interval with bootstrapping
Hedges_g(Cremains_measurements[1, ], rand = FALSE, B = 1000)

## End(Not run)

bassam-abulnoor/TestDimorph documentation built on Jan. 29, 2021, 8:21 a.m.