netgraph: Generic function for network graphs

In netmeta: Network Meta-Analysis using Frequentist Methods

Generic function for network graphs

Description

Generic function for network graphs

Usage

netgraph(x, ...)

Arguments

x	An R object.
...	Additional arguments.

Details

For more details, look at the following functions to generate network graphs:

• netgraph.netmeta

• netgraph.netimpact

• netgraph.netconnection

• netgraph.netcomb

• netgraph.discomb

Author(s)

Guido Schwarzer [e-mail]

Examples

data(smokingcessation)

# Transform data from arm-based format to contrast-based format
#
p1 <- pairwise(list(treat1, treat2, treat3),
  event = list(event1, event2, event3), n = list(n1, n2, n3),
  data = smokingcessation, sm = "OR")

# Conduct random effects network meta-analysis
#
net1 <- netmeta(p1, common = FALSE)

# Network graph with default settings
#
netgraph(net1)

## Not run: 
data(Senn2013)

# Generation of an object of class 'netmeta' with reference
# treatment 'plac'
#
net2 <- netmeta(TE, seTE, treat1, treat2, studlab,
  data = Senn2013, sm = "MD", reference = "plac")

# Network graph with default settings
#
netgraph(net2)

data(Woods2010)
p3 <- pairwise(treatment, event = r, n = N,
  studlab = author, data = Woods2010, sm = "OR")
net3 <- netmeta(p3)

# Network graph with default settings
#
netgraph(net3)

# Network graph with
# - number of studies for each pairwise comparison and
# - number of participants for each treatment arm
#
netgraph(net3, number.of.studies = TRUE,
  labels = paste0(trts, " (n=", n.trts, ")"))

## End(Not run)

netmeta documentation built on May 31, 2023, 5:45 p.m.