Print method for objects of class meta.
# S3 method for meta
print(x, sortvar, comb.fixed = x$comb.fixed,
comb.random = x$comb.random, prediction = x$prediction,
details = FALSE, ma = TRUE, backtransf = x$backtransf,
pscale = x$pscale, irscale = x$irscale, irunit = x$irunit,
digits = gs("digits"), digits.se = gs("digits.se"),
digits.tau2 = gs("digits.tau2"), digits.I2 = gs("digits.I2"),
digits.prop = gs("digits.prop"), digits.weight = gs("digits.weight"),
big.mark = gs("big.mark"), warn.backtransf = FALSE, ...)cilayout(bracket = "[", separator = "; ")
An object of class meta
An optional vector used to sort the individual
studies (must be of same length as x$TE).
A logical indicating whether a fixed effect meta-analysis should be conducted.
A logical indicating whether a random effects meta-analysis should be conducted.
A logical indicating whether a prediction interval should be printed.
A logical indicating whether further details of individual studies should be printed.
A logical indicating whether the summary results of the meta-analysis should be printed.
A logical indicating whether printed results
should be back transformed. If backtransf = TRUE, results
for sm = "OR" are printed as odds ratios rather than log
odds ratios and results for sm = "ZCOR" are printed as
correlations rather than Fisher's z transformed correlations, for
example.
A numeric giving scaling factor for printing of
single event probabilities or risk differences, i.e. if argument
sm is equal to "PLOGIT", "PLN",
"PRAW", "PAS", "PFT", or "RD".
A numeric defining a scaling factor for printing of
single incidence rates or incidence rate differences, i.e. if
argument sm is equal to "IR", "IRLN",
"IRS", "IRFT", or "IRD".
A character specifying the time unit used to calculate rates, e.g. person-years.
Minimal number of significant digits, see
print.default.
Minimal number of significant digits for standard
deviations and standard errors, see print.default.
Minimal number of significant digits for
between-study variance, see print.default.
Minimal number of significant digits for I-squared
and Rb statistic, see print.default.
Minimal number of significant digits for
proportions, see print.default.
Minimal number of significant digits for
weights, see print.default.
A character used as thousands separator.
A logical indicating whether a warning should be printed if backtransformed proportions and rates are below 0 and backtransformed proportions are above 1.
Additional arguments (passed on to
print.summary.meta called internally).
A character with bracket symbol to print lower confidence interval: "[", "(", "{", "".
A character string with information on separator between lower and upper confidence interval.
R function cilayout can be utilised to change the layout to print
confidence intervals (both in printout from print.meta and
print.summary.meta function as well as in forest plots). The
default layout is "[lower; upper]". Another popular layout is
"(lower - upper)" which is used throughout an R session by using R
command cilayout("(", " - ").
Argument pscale can be used to rescale single proportions or
risk differences, e.g. pscale = 1000 means that proportions
are expressed as events per 1000 observations. This is useful in
situations with (very) low event probabilities.
Argument irscale can be used to rescale single rates or rate
differences, e.g. irscale = 1000 means that rates are
expressed as events per 1000 time units, e.g. person-years. This is
useful in situations with (very) low rates. Argument irunit
can be used to specify the time unit used in individual studies
(default: "person-years"). This information is printed in summaries
and forest plots if argument irscale is not equal to 1.
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
Crippa A, Khudyakov P, Wang M, Orsini N, Spiegelman D (2016), A new measure of between-studies heterogeneity in meta-analysis. Statistics in Medicine, 35, 3661--75.
Higgins JPT & Thompson SG (2002), Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539--58.
# NOT RUN {
data(Fleiss93cont)
m1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c,
data = Fleiss93cont, sm = "SMD",
studlab = paste(study, year))
m1
print(m1, digits = 2)
# }
# NOT RUN {
# Use unicode characters to print tau^2 and I^2
print(m1, text.tau2 = "\u03c4\u00b2", text.I2 = "I\u00b2")
# }
# NOT RUN {
# }
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