cohens_d_ci: Bootstrap confidence interval for Cohen's d
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cohens_d_ci R Documentation
Bootstrap confidence interval for Cohen's d
Description
Percentile bootstrap for the standardised mean difference between two
independent groups. Each resample draws within each group, preserving the
group sizes.
Usage
cohens_d_ci(x, y, R = 2000, conf.level = 0.95, seed = NULL)
Arguments
x, y
Numeric vectors, one per group.
R
Integer. Number of bootstrap resamples. Defaults to 2000.
conf.level
Confidence level. Defaults to 0.95.
seed
Integer or NULL. When supplied, sets the random seed.
Value
A named numeric vector: estimate, lower, upper. The bounds
are NA when either group has fewer than 3 finite values.
See Also
bootstrap_ci()
Examples
cohens_d_ci(mtcars$mpg[mtcars$am == 1], mtcars$mpg[mtcars$am == 0],
seed = 42)
surveyframe documentation built on July 25, 2026, 1:07 a.m.
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| cohens_d_ci | R Documentation |
Bootstrap confidence interval for Cohen's d
Description
Percentile bootstrap for the standardised mean difference between two independent groups. Each resample draws within each group, preserving the group sizes.
Usage
cohens_d_ci(x, y, R = 2000, conf.level = 0.95, seed = NULL)
Arguments
x, y |
Numeric vectors, one per group. |
R |
Integer. Number of bootstrap resamples. Defaults to 2000. |
conf.level |
Confidence level. Defaults to 0.95. |
seed |
Integer or NULL. When supplied, sets the random seed. |
Value
A named numeric vector: estimate, lower, upper. The bounds
are NA when either group has fewer than 3 finite values.
See Also
bootstrap_ci()
Examples
cohens_d_ci(mtcars$mpg[mtcars$am == 1], mtcars$mpg[mtcars$am == 0],
seed = 42)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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