relevance_table.study: creates a table with the effectsizes of all locations for a...

In StefanThoma/ReplicationRelevance: Calculates Relevance for Many Labs Replication Projects

creates a table with the effectsizes of all locations for a specific research question and one-sided CIs for the effect found by each university and the prediction interval of the overall effect. If the measure is either OR or SMD, it calls the function relevance_f.study to do most of the heavy lifting. If measure is drop, the function r_squared.study is called and its output returned.

Description

creates a table with the effectsizes of all locations for a specific research question and one-sided CIs for the effect found by each university and the prediction interval of the overall effect. If the measure is either OR or SMD, it calls the function relevance_f.study to do most of the heavy lifting. If measure is drop, the function r_squared.study is called and its output returned.

Usage

relevance_table.study(
  object,
  coverage_prob = 0.95,
  mem = TRUE,
  use.both = TRUE
)

Arguments

object	study object
mem	boolean, whether fixed effect from mixed effects model should be included
use.both	boolean, should both data frames be used?
coverage_probab	Double. Coverage probability of the CIs. Defaults to .95

Value

after_esclalc data.frame. Contains the university-level effect sizes and CIs for one research question.

Author(s)

Stefan Thoma, adapted from Lorenz Herger

StefanThoma/ReplicationRelevance documentation built on Feb. 6, 2023, 4:03 a.m.