netgraph.discomb: Network graph for objects of class discomb

In guido-s/netmeta: Network Meta-Analysis using Frequentist Methods

Network graph for objects of class discomb

Description

This function generates a graph of the evidence network.

Usage

## S3 method for class 'discomb'
netgraph(
  x,
  labels = x$trts,
  adj = NULL,
  offset = if (!is.null(adj) && all(unique(adj) == 0.5)) 0 else 0.0175,
  rotate = 0,
  points = !missing(cex.points),
  cex.points = 1,
  ...
)

Arguments

x	An object of class discomb.
labels	An optional vector with treatment labels.
adj	One, two, or three values in [0, 1] (or a vector / matrix with length / number of rows equal to the number of treatments) specifying the x (and optionally y and z) adjustment for treatment labels.
offset	Distance between edges (i.e. treatments) in graph and treatment labels for 2-D plots (value of 0.0175 corresponds to a difference of 1.75% of the range on x- and y-axis).
rotate	A single numeric with value between -180 and 180 specifying the angle to rotate nodes in a circular network.
points	A logical indicating whether points should be printed at nodes (i.e. treatments) of the network graph.
cex.points	Corresponding point size. Can be a vector with length equal to the number of treatments.
...	Additional arguments passed on to netgraph.netmeta.

Details

The arguments seq and iterate are used internally and cannot be specified by the user.

Author(s)

Guido Schwarzer [e-mail], Gerta Rücker [e-mail]

See Also

discomb, netgraph.netmeta

Examples

# Artificial dataset
#
t1 <- c("A + B", "A + C", "A"    , "A"    , "D", "D", "E")
t2 <- c("C"    , "B"    , "B + C", "A + D", "E", "F", "F")
#
mean <- c(4.1, 2.05, 0, 0, 0.1, 0.1, 0.05)
se.mean <- rep(0.1, 7)
#
study <- paste("study", c(1:4, 5, 5, 5))
#
dat <- data.frame(mean, se.mean, t1, t2, study,
                  stringsAsFactors = FALSE)
#
trts <- c("A", "A + B", "A + C", "A + D",
  "B", "B + C", "C", "D", "E", "F")
#
comps <- LETTERS[1:6]

# Use netconnection() to display network information
#
netconnection(t1, t2, study)

dc1 <- discomb(mean, se.mean, t1, t2, study, seq = trts)

netgraph(dc1)

guido-s/netmeta documentation built on March 4, 2025, 8:22 p.m.