forest.netcomparison: Forest plot for complex interventions in component network meta-analysis

Description

Draws a forest plot in the active graphics window (using grid graphics system).

Usage

# S3 method for netcomparison
forest(
  x,
  pooled = ifelse(x$random, "random", "common"),
  leftcols = c("studlab", "treat1", "treat2"),
  leftlabs = c("Comparison", "Trt 1", "Trt 2"),
  rightcols = c("effect", "ci", "statistic", "pval"),
  rightlabs = c(NA, NA, "z", "p-value"),
  nchar.comps = x$nchar.trts,
  digits = gs("digits.forest"),
  digits.stat = gs("digits.stat"),
  digits.pval = gs("digits.pval"),
  smlab = NULL,
  backtransf = x$backtransf,
  lab.NA = gs("lab.NA"),
  equal.size = gs("equal.size"),
  ...
)
# S3 method for netcomparison
plot(x, ...)

Arguments

x: An object of class netcomparison.
pooled: A character string indicating whether results for the common ("common") or random effects model ("random") should be plotted. Can be abbreviated.
leftcols: A character vector specifying (additional) columns to be plotted on the left side of the forest plot or a logical value (see forest.meta help page for details).
leftlabs: A character vector specifying labels for (additional) columns on left side of the forest plot (see forest.meta help page for details).
rightcols: A character vector specifying (additional) columns to be plotted on the right side of the forest plot or a logical value (see forest.meta help page for details).
rightlabs: A character vector specifying labels for (additional) columns on right side of the forest plot (see forest.meta help page for details).
nchar.comps: A numeric defining the minimum number of characters used to create unique names for components.
digits: Minimal number of significant digits for treatment effects and confidence intervals, see print.default.
digits.stat: Minimal number of significant digits for tests of overall effect, see print.default.
digits.pval: Minimal number of significant digits for p-value of overall effects, see print.default.
smlab: A label printed at top of figure. By default, text indicating either common or random effects model is printed.
backtransf: A logical indicating whether results should be back transformed in forest plots. If backtransf = TRUE, results for sm = "OR" are presented as odds ratios rather than log odds ratios, for example.
lab.NA: A character string to label missing values.
equal.size: A logical indicating whether all squares should be of equal size. Otherwise, the square size is proportional to the precision of estimates.
...: Additional arguments for forest.meta function.

Author

Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de

Details

A forest plot, also called confidence interval plot, is drawn in the active graphics window. For more information see help page of forest.meta function.

Examples

Run this code

# Examples: example(netcomparison)