SES | R Documentation |
Estimate standardized effect size (SES) and p-value
SES(obs, sim, alternative = "two-sided")
obs |
Single value of the observed statistics |
sim |
Numeric vector of simulated values (null distribution) |
alternative |
Character string specifying the alternative hypothesis; "greater", "less", or "two-sided" (default) |
Standardized effect size (SES) represents Z-score, and is calculated as (observed - mean_simulated) / standard_deviation_simulated. SES values more extreme than +/-1.96 belong to the outer 5 and thus are significant at alpha=0.05 with two-sided hypothesis test.
Data frame with the effect size estimate (SES) and p-value (Pval).
SES(2, 1:10)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.