weights.meta: Calculate absolute and percentage weights for meta-analysis

In meta: General Package for Meta-Analysis

Calculate absolute and percentage weights for meta-analysis

Description

This function returns a data frame containing information on absolute and percentage weights of individual studies contributing to common effect and random effects meta-analysis.

Usage

## S3 method for class 'meta'
weights(
  object,
  common = object$common,
  random = object$random,
  warn.deprecated = gs("warn.deprecated"),
  ...
)

Arguments

object	An object of class meta.
common	A logical indicating whether absolute and percentage weights from the common effect model should be calculated.
random	A logical indicating whether absolute and percentage weights from the random effects model should be calculated.
warn.deprecated	A logical indicating whether warnings should be printed if deprecated arguments are used.
...	Additional arguments (to catch deprecated arguments).

Value

A data frame with the following variables is returned:

Variable	Definition	Condition
w.common	absolute weights in common effect model	(if common = TRUE)
p.common	percentage weights in common effect model	(if common = TRUE)
w.random	absolute weights in random effects model	(if random = TRUE)
p.random	percentage weights in random effects model	(if random = TRUE)

Author(s)

Guido Schwarzer [e-mail]

See Also

metabin, metacont, metagen

Examples

data(Fleiss1993cont)
# Do meta-analysis (common effect and random effects model)
#
meta1 <- metacont(n.psyc, mean.psyc, sd.psyc, n.cont, mean.cont, sd.cont,
  data = Fleiss1993cont, studlab = paste(study, year), sm = "SMD")

# Print weights for common effect and random effects meta-analysis
#
weights(meta1)

# Do meta-analysis (only random effects model)
#
meta2 <- update(meta1, common = FALSE)

# Print weights for random effects meta-analysis
#
weights(meta2)

# Print weights for common effect and random effects meta-analysis
#
weights(meta2, common = TRUE)

meta documentation built on June 7, 2023, 5:08 p.m.