# Calculate absolute and percentage weights for meta-analysis

### Description

The `weights.meta`

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

### Usage

1 2 3 |

### Arguments

`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). |

### Value

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` ) |

### Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

### See Also

`metabin`

, `metacont`

, `metagen`

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
data(Fleiss93cont)
#
# Do meta-analysis (fixed effect and random effects model)
#
meta1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, study,
data=Fleiss93cont, sm="SMD")
#
# 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)
``` |

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