netmeta (version 3.1-1)

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

Description

Print method for objects of class decomp.design.

Usage

# S3 method for 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 = gs("legend"),
  ...
)

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

Guido Schwarzer , Ulrike Krahn

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)