compute_significance: Compute significance from bootstrap distributions
In besthr: Generating Bootstrap Estimation Distributions of HR Data
compute_significance R Documentation
Compute significance from bootstrap distributions
Description
Determines statistical significance by checking if the bootstrap confidence
interval for each treatment group overlaps with the control group's mean rank.
Usage
compute_significance(hrest)
Arguments
hrest
An hrest object from estimate
Value
A data frame with columns: group, significant (logical), p_value, stars
Examples
d <- make_data()
hr <- estimate(d, score, group, nits = 500)
compute_significance(hr)
besthr documentation built on March 18, 2026, 5:08 p.m.
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| compute_significance | R Documentation |
Compute significance from bootstrap distributions
Description
Determines statistical significance by checking if the bootstrap confidence interval for each treatment group overlaps with the control group's mean rank.
Usage
compute_significance(hrest)
Arguments
hrest |
An hrest object from |
Value
A data frame with columns: group, significant (logical), p_value, stars
Examples
d <- make_data()
hr <- estimate(d, score, group, nits = 500)
compute_significance(hr)
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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