MA_effectsTable

A two-sided linear formula object describing the model, with the
response (effect sizes) on the left of a ~ operator and the moderator 
variables, separated by +, :, * operators, on the right.

model

A column label from data.frame of variances to be used as weights.

weights

An optional data frame containing the variables named in the
model.

data

The default is <code>"random"</code>, which specifies a 
random-effects meta-analysis (DerSimonian and Laird method). Other 
options include <code>"fixed"</code> which presents fixed-effect analyses.

effects_model

Generates an ANOVA-like effects table that summarizes the within and 
between-study homogeneity tests (Q-tests), as well as moderator level 
Q-tests as originally described by Hedges and Olkin (1985; p. 156).

Functionalities for facilitating systematic reviews, data
extractions, and meta-analyses. It includes a GUI (graphical user interface)
to help screen the abstracts and titles of bibliographic data; tools to assign
screening effort across multiple collaborators/reviewers and to assess inter-
reviewer reliability; tools to help automate the download and retrieval of
journal PDF articles from online databases; figure and image extractions
from PDFs; web scraping of citations; automated and manual data extraction
from scatter-plot and bar-plot images; PRISMA (Preferred Reporting Items for
Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools
to fill gaps in incomplete or missing study parameters; generation of random
effects sizes for Hedges' d, log response ratio, odds ratio, and correlation
coefficients for Monte Carlo experiments; covariance equations for modelling
dependencies among multiple effect sizes (e.g., effect sizes with a common
control); and finally summaries that replicate analyses and outputs from
widely used but no longer updated meta-analysis software (i.e., metawin).
Funding for this package was supported by National Science Foundation (NSF)
grants DBI-1262545 and DEB-1451031.

MA_effectsTable: Generate an ANOVA-like effects table for a meta-analysis.

Description

Usage

Arguments

Value

References