# Get listing of current settings
#
settings.meta()
# Meta-analyses using default settings
#
metabin(10, 20, 15, 20)
metaprop(4, 20)
metabin(10, 20, 15, 20, sm = "RD")
metaprop(4, 20, sm = "PLN")
# Change summary measure for R functions metabin and metaprop
# and store old settings
#
oldset <- settings.meta(smbin = "RD", smprop = "PLN")
#
metabin(10, 20, 15, 20)
metaprop(4, 20)
# Use old settings
#
settings.meta(oldset)
# Change level used to calculate confidence intervals
# (99%-CI for studies, 99.9%-CI for pooled effects)
#
metagen(1:3, 2:4 / 10, sm = "MD")
settings.meta(level = 0.99, level.ma = 0.999)
metagen(1:3, 2:4 / 10, sm = "MD")
# Always print a prediction interval
#
settings.meta(prediction = TRUE)
metagen(1:3, 2:4 / 10, sm = "MD")
metagen(4:6, 4:2 / 10, sm = "MD")
# Try to set unknown argument results in a warning
#
try(settings.meta(unknownarg = TRUE))
# Reset to default settings of R package meta
#
settings.meta("reset")
metabin(10, 20, 15, 20)
metaprop(4, 20)
metagen(1:3, 2:4 / 10, sm = "MD")
# Do not back transform results (e.g. print log odds ratios instead
# of odds ratios, print transformed correlations / proportions
# instead of correlations / proportions)
#
settings.meta(backtransf = FALSE)
metabin(10, 20, 15, 20)
metaprop(4, 20)
metacor(c(0.85, 0.7, 0.95), c(20, 40, 10))
# Forest plot using RevMan 5 style
#
settings.meta("RevMan5")
forest(metagen(1:3, 2:4 / 10, sm = "MD", common = FALSE),
label.left = "Favours A", label.right = "Favours B",
colgap.studlab = "2cm", colgap.forest.left = "0.2cm")
# Forest plot using JAMA style
#
settings.meta("JAMA")
forest(metagen(1:3, 2:4 / 10, sm = "MD", common = FALSE),
label.left = "Favours A", label.right = "Favours B",
colgap.studlab = "2cm", colgap.forest.left = "0.2cm")
# Use slightly different layout for confidence intervals
# (especially useful if upper confidence limit can be negative)
#
settings.meta(CIseparator = " - ")
forest(metagen(-(1:3), 2:4 / 10, sm = "MD", common = FALSE),
label.left = "Favours A", label.right = "Favours B",
colgap.studlab = "2cm", colgap.forest.left = "0.2cm")
# Use old settings
#
settings.meta(oldset)
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