forest.netcomparison: Forest plot for complex interventions in component network...
In guido-s/netmeta: Network Meta-Analysis using Frequentist Methods

forest.netcomparison

R Documentation

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 class '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 class '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.

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.