weights.meta {meta} | R Documentation |
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.
## S3 method for class 'meta' weights( object, common = object$common, random = object$random, warn.deprecated = gs("warn.deprecated"), ... )
object |
An object of class |
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). |
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 )
|
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
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)