meta (version 3.0-1)

addvar: Additional functions for objects of class meta

Description

The as.data.frame method returns a data frame containing information on individual studies, e.g., estimated treatment effect and its standard error. The function addvar can be used to add a single variable to an object of class meta which for example is useful to add columns to a forest plot.

Usage

## S3 method for class 'meta':
as.data.frame(x, row.names=NULL, optional=FALSE, ...)
addvar(x, y, varname, by.x="studlab", by.y=by.x)

Arguments

x

An object of class meta.

row.names

NULL or a character vector giving the row names for the data frame.

optional

logical. If TRUE, setting row names and converting column names (to syntactic names) is optional.

y

A data frame with an additional covariate

varname

A character specifying name of additional variable

by.x, by.y

Specifications of the common columns (see merge)

...

other arguments

Value

• A data frame is returned by the function as.data.frame.

  A single covariate is returned by the function addvar which can be added to an object of class meta. Internally, the merge function is utilised. See help page metagen for an example on the use of R function addvar.

See Also

metabin, metacont, metagen, forest.meta

Examples

data(Fleiss93cont)
#
# Generate additional variable with grouping information
#
Fleiss93cont$group <- c(1,2,1,1,2)
#
# Do meta-analysis without grouping information
#
meta1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, study,
                  data=Fleiss93cont, sm="SMD")
#
# Update meta-analysis object and do subgroup analyses
#
summary(update(meta1, byvar=group))

#
# Same result using metacont function directly
#
meta2 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, study,
                  data=Fleiss93cont, sm="SMD", byvar=group)
summary(meta2)

#
# Compare printout of the following two commands
#
as.data.frame(meta1)
meta1$data