read.mtv {meta} | R Documentation |
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. |
Details
Reads a file created with RevMan 4 (Menu: "File" - "Export" - "Analysis data file...") and creates a data frame from it.
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 |
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. |
Author(s)
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
References
Review Manager (RevMan) [Computer program]. Version 4.2. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2003
See Also
Examples
# Locate MTV-data file "FLEISS1993.MTV" in sub-directory of R package
# meta
#
filename <- system.file("extdata/FLEISS1993.MTV", package = "meta")
fleiss1933.cc <- read.mtv(filename)
# Same result as R Command example(Fleiss1993bin):
#
metabin(event.e, n.e, event.c, n.c,
data = fleiss1933.cc, subset = type == "D",
studlab = paste(studlab, year))
# Same result: example(Fleiss1993cont)
#
metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c,
data = fleiss1933.cc, subset = type == "C",
studlab = paste(studlab, year))