Calculate absolute and percentage weights for meta-analysis
This function returns a data frame containing information on absolute and percentage weights of individual studies contributing to fixed effect and random effects meta-analysis.
## S3 method for class 'meta' weights( object, comb.fixed = object$comb.fixed, comb.random = object$comb.random, ... )
object | 
 An object of class   | 
comb.fixed | 
 A logical indicating whether absolute and percentage weights from the fixed effect model should be calculated.  | 
comb.random | 
 A logical indicating whether absolute and percentage weights from the random effects model should be calculated.  | 
... | 
 Additional arguments (ignored at the moment).  | 
A data frame with the following variables is returned:
| Variable | Definition | Condition | 
| w.fixed | absolute weights in fixed effect model |  (if
  comb.fixed = TRUE)  | 
| p.fixed | percentage weights in fixed effect model |  (if
  comb.fixed = TRUE)  | 
| w.random | absolute weights in random effects model |  (if
  comb.random = TRUE)  | 
| p.random | percentage weights in random effects model |  (if
  comb.random = TRUE)
 | 
Guido Schwarzer sc@imbi.uni-freiburg.de
data(Fleiss1993cont)
# Do meta-analysis (fixed effect and random effects model)
#
meta1 <- metacont(n.psyc, mean.psyc, sd.psyc, n.cont, mean.cont, sd.cont,
                  data = Fleiss1993cont, sm = "SMD",
                  studlab = paste(study, year))
# Print weights for fixed effect and random effects meta-analysis
#
weights(meta1)
# Do meta-analysis (only random effects model)
#
meta2 <- update(meta1, comb.fixed = FALSE)
# Print weights for random effects meta-analysis
#
weights(meta2)
# Print weights for fixed effect and random effects meta-analysis
#
weights(meta2, comb.fixed = TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.