meta (version 3.8-0)

read.mtv: Import RevMan 4 data files (.mtv)

Description

Reads a file created with RevMan 4 and creates a data frame from it.

Usage

read.mtv(file)

Arguments

file

The name of a file to read data values from.

Value

• A data frame containing the following components:
• comp.no
  Comparison number.
• outcome.no
  Outcome number.
• group.no
  Group number.
• studlab
  Study label.
• year
  Year of publication.
• event.e
  Number of events in experimental group.
• n.e
  Number of observations in experimental group.
• event.c
  Number of events in control group.
• n.c
  Number of observations in control group.
• mean.e
  Estimated mean in experimental group.
• sd.e
  Standard deviation in experimental group.
• mean.c
  Estimated mean in control group.
• sd.c
  Standard deviation in control group.
• O.E
  Observed minus expected (IPD analysis).
• V
  Variance of O.E (IPD analysis).
• order
  Ordering of studies.
• conceal
  Concealment of treatment allocation.
• grplab
  Group label.
• type
  Type of outcome. D = dichotomous, C = continuous, P = IPD.
• outclab
  Outcome label.
• graph.exp
  Graph label for experimental group.
• graph.cont
  Graph label for control group.
• label.exp
  Label for experimental group.
• label.cont
  Label for control group.
• complab
  Comparison label.

Details

Reads a file created with RevMan 4 (Menu: "File" - "Export" - "Analysis data file...") and creates a data frame from it.

References

Review Manager (RevMan) [Computer program]. Version 4.2 for Windows. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2003.

See Also

metabin, metacont, metagen

Examples

# Locate MTV-data file "FLEISS93.MTV" in sub-directory of package "meta"
#
filename <- system.file("extdata/Fleiss93.MTV", package = "meta")
#
fleiss93.cc <- read.mtv(filename)

# Same result as R Command example(Fleiss93):
#
metabin(event.e, n.e, event.c, n.c,
        data=fleiss93.cc, subset=type=="D",
        studlab=paste(studlab, year))

# Same result: example(Fleiss93cont)
#
metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c,
        data=fleiss93.cc, subset=type=="C",
        studlab=paste(studlab, year))