print.meta {meta} | R Documentation |
Print and summary method for objects of class meta
.
## S3 method for class 'meta': print(x, sortvar, level=x$level, level.comb=x$level.comb, details=FALSE, ma=TRUE, digits=max(4, .Options$digits - 3), ...) ## S3 method for class 'meta': summary(object, byvar, bylab, bystud=FALSE, level=object$level, level.comb=object$level.comb, warn=TRUE, ...) ## S3 method for class 'summary.meta': print(x, digits = max(3, .Options$digits - 3), print.byvar = TRUE, ...)
x |
An object of class meta or summary.meta . |
object |
An object of class meta . |
sortvar |
An optional vector used to sort the individual studies
(must be of same length as x$TE ). |
level |
The level used to calculate confidence intervals for individual studies. |
level.comb |
The level used to calculate confidence intervals for pooled estimates. |
details |
A logical indicating whether further details of individual studies should be printed. |
ma |
A logical indicating whether the summary results of the meta-analysis should be printed. |
byvar |
An optional vector containing grouping information (must
be of same length as x$TE ). |
bylab |
A character string with a label for the grouping variable. |
bystud |
A logical indicating whether results of individual studies should be printed by grouping variable. |
digits |
Minimal number of significant digits, see print.default . |
print.byvar |
A logical indicating whether the name of the grouping variable should be printed in front of the group labels. |
warn |
A logical indicating whether the use of
summary.meta in connection with metacum or
metainf should result in a warning. |
... |
other arguments |
A list is returned by the function summary.meta
with the
following elements:
study |
Results for individual studies (a list with elements TE, seTE, lower, upper, z, p, level). |
fixed |
Results for fixed effect model (a list with elements TE, seTE, lower, upper, z, p, level). |
random |
Results for random effects model (a list with elements TE, seTE, lower, upper, z, p, level). |
k |
Number of studies combined in meta-analysis. |
Q |
Heterogeneity statistic Q. |
tau |
Square-root of between-study variance (moment estimator of DerSimonian-Laird). |
H |
Heterogeneity statistic H (a list with elements TE, lower, upper). |
I2 |
Heterogeneity statistic I2 (a list with elements TE, lower, upper), see Higgins & Thompson (2002). |
k.all |
Total number of trials. |
Q.CMH |
Cochrane-Mantel-Haenszel heterogeneity statistic. |
sm |
A character string indicating underlying summary measure. |
method |
A character string with the pooling method. |
call |
Function call. |
ci.lab |
Label for confidence interval. |
within |
Results within groups (a list with elements TE, seTE,
lower, upper, z, p, level) - if byvar is not missing. |
k.w |
Number of studies combined within groups - if byvar is not missing. |
Q.w |
Heterogeneity statistic Q within groups - if byvar is not missing. |
bylab |
Label for grouping variable - if byvar is not missing. |
by.levs |
Levels of grouping variable - if byvar is not missing. |
Guido Schwarzer sc@imbi.uni-freiburg.de
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
Higgins JPT & Thompson SG (2002), Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539–1558.
data(Fleiss93cont) meta1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, data=Fleiss93cont, sm="SMD") summary(meta1) summary(meta1, byvar=c(1,2,1,1,2), bylab="group")