effectSizeSignificance | R Documentation |
The minimum relative effect size (replication to original) to achieve significance of the replication study is computed based on the result of the original study and the corresponding variance ratio.
effectSizeSignificance(
zo,
c = 1,
level = 0.025,
alternative = c("one.sided", "two.sided")
)
zo |
Numeric vector of z-values from original studies. |
c |
Numeric vector of variance ratios of the original and replication effect estimates. This is usually the ratio of the sample size of the replication study to the sample size of the original study. |
level |
Significance level. Default is 0.025. |
alternative |
Specifies if the significance level is "one.sided" (default) or "two.sided". If the significance level is one-sided, then effect size calculations are based on a one-sided assessment of significance in the direction of the original effect estimate. |
effectSizeSignificance
is the vectorized version of
the internal function .effectSizeSignificance_
.
Vectorize
is used to vectorize the function.
The minimum relative effect size to achieve significance in the replication study.
Charlotte Micheloud, Samuel Pawel, Florian Gerber
Held, L., Micheloud, C., Pawel, S. (2022). The assessment of replication success based on relative effect size. The Annals of Applied Statistics. 16:706-720. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/21-AOAS1502")}
effectSizeReplicationSuccess
po <- c(0.001, 0.002, 0.01, 0.02, 0.025)
zo <- p2z(po, alternative = "one.sided")
effectSizeSignificance(zo = zo, c = 1, level = 0.025,
alternative = "one.sided")
effectSizeSignificance(zo = zo, c = 1, level = 0.05,
alternative = "two.sided")
effectSizeSignificance(zo = zo, c = 50, level = 0.025,
alternative = "one.sided")
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