Print method for summary of limit meta-analysis
Print method for objects of class summary.limitmeta.
## S3 method for class 'summary.limitmeta'
print(
x,
backtransf = x$backtransf,
digits = gs("digits"),
header = TRUE,
pscale = x$x$pscale,
irscale = x$x$irscale,
irunit = x$x$irunit,
digits.stat = gs("digits.stat"),
digits.pval = gs("digits.pval"),
digits.Q = gs("digits.Q"),
digits.tau2 = gs("digits.tau2"),
digits.I2 = gs("digits.I2"),
scientific.pval = gs("scientific.pval"),
big.mark = gs("big.mark"),
print.Rb = gs("print.Rb"),
warn.backtransf = FALSE,
...
)x |
An object of class |
backtransf |
A logical indicating whether results should be
back transformed in printouts and plots. If
|
digits |
Minimal number of significant digits, see
|
header |
A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout. |
pscale |
A numeric giving scaling factor for printing of
single event probabilities, i.e. if argument |
irscale |
A numeric defining a scaling factor for printing of
rates, i.e. if argument |
irunit |
A character specifying the time unit used to calculate rates, e.g. person-years. |
digits.stat |
Minimal number of significant digits for z- or
t-value, see |
digits.pval |
Minimal number of significant digits for p-value
of overall treatment effect, see |
digits.Q |
Minimal number of significant digits for
heterogeneity statistic Q, see |
digits.tau2 |
Minimal number of significant digits for
between-study variance, see |
digits.I2 |
Minimal number of significant digits for I-squared
and Rb statistic, see |
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. |
print.Rb |
A logical specifying whether heterogeneity statistic Rb should be printed. |
warn.backtransf |
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 (ignored). |
This function prints summary information for a limit meta-analysis (Rücker et al., 2011); unadjusted as well as adjusted effect estimates in a random effects model are printed.
Guido Schwarzer sc@imbi.uni-freiburg.de
data(Moore1998)
m1 <- metabin(succ.e, nobs.e, succ.c, nobs.c,
data = Moore1998, sm = "OR", method = "Inverse")
print(summary(limitmeta(m1)), digits = 2)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.