print.decomp.design: Print method for objects of class decomp.design

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

Print method for objects of class decomp.design

Description

Print method for objects of class decomp.design.

Usage

## S3 method for class 'decomp.design'
print(
  x,
  digits.Q = gs("digits.Q"),
  showall = FALSE,
  digits.pval.Q = gs("digits.pval.Q"),
  digits.tau2 = gs("digits.tau2"),
  scientific.pval = gs("scientific.pval"),
  big.mark = gs("big.mark"),
  nchar.trts = x$nchar.trts,
  sort = TRUE,
  legend = TRUE,
  ...
)

Arguments

x	An object of class decomp.design.
digits.Q	Minimal number of significant digits for Q statistics, see print.default.
showall	A logical indicating whether results should be shown for all designs or only designs contributing to chi-squared statistics (default).
digits.pval.Q	Minimal number of significant digits for p-value of heterogeneity tests, see print.default.
digits.tau2	Minimal number of significant digits for between-study variance, see print.default.
scientific.pval	A logical specifying whether p-values should be printed in scientific notation, e.g., 1.2345e-01 instead of 0.12345.
big.mark	A character used as thousands separator.
nchar.trts	A numeric defining the minimum number of characters used to create unique treatment names.
sort	A logical indicating whether to sort results by p-values.
legend	A logical indicating whether a legend should be printed.
...	Additional arguments (ignored at the moment).

Author(s)

Guido Schwarzer [e-mail], Ulrike Krahn [e-mail]

See Also

decomp.design

Examples

data(Senn2013)

# Only consider first five studies (to reduce runtime of example)
#
studies <- unique(Senn2013$studlab)
Senn2013.5 <- subset(Senn2013, studlab %in% studies[1:5])

# Conduct network meta-analysis with placebo as reference treatment
#
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
  data = Senn2013.5, sm = "MD", reference = "plac")

# Decomposition of Cochran's Q
#
decomp.design(net1)

guido-s/netmeta documentation built on April 8, 2024, 5:31 a.m.