Print objects of class netcomb
Print method for objects of class netcomb
.
## S3 method for class 'netcomb' print( x, comb.fixed = x$comb.fixed, comb.random = x$comb.random, backtransf = x$backtransf, nchar.trts = x$nchar.trts, digits = gs("digits"), digits.stat = gs("digits.stat"), digits.pval = gs("digits.pval"), digits.pval.Q = max(gs("digits.pval.Q"), 2), digits.Q = gs("digits.Q"), scientific.pval = gs("scientific.pval"), big.mark = gs("big.mark"), ... )
x |
An object of class |
comb.fixed |
A logical indicating whether results for the fixed effects (common effects) model should be printed. |
comb.random |
A logical indicating whether results for the random effects model should be printed. |
backtransf |
A logical indicating whether results should be
back transformed in printouts and forest plots. If
|
nchar.trts |
A numeric defining the minimum number of characters used to create unique treatment names (see Details). |
digits |
Minimal number of significant digits, see
|
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.pval.Q |
Minimal number of significant digits for
p-value of heterogeneity tests, see |
digits.Q |
Minimal number of significant digits for
heterogeneity statistics, 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. |
... |
Additional arguments. |
Guido Schwarzer sc@imbi.uni-freiburg.de
data(Linde2016) # Only consider studies including Face-to-face PST (to reduce # runtime of example) # face <- subset(Linde2016, id %in% c(16, 24, 49, 118)) # Conduct random effects network meta-analysis # net1 <- netmeta(lnOR, selnOR, treat1, treat2, id, data = face, reference.group = "placebo", sm = "OR", comb.fixed = FALSE) # Additive model for treatment components # nc1 <- netcomb(net1) print(nc1, digits = 2)
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