Methods for objects of class "list.rma".

# S3 method for class 'list.rma'
as.data.frame(x, ...)
# S3 method for class 'list.rma'
as.matrix(x, ...)
# S3 method for class 'list.rma'
x[i, ...]
# S3 method for class 'list.rma'
head(x, n=6L, ...)
# S3 method for class 'list.rma'
tail(x, n=6L, ...)
# S3 method for class 'list.rma'
x$name <- value

Arguments

x

an object of class "list.rma".

...

other arguments.

Note

For the `[` method, any variables specified as part of the i argument will be searched for within object x first (see ‘Examples’).

References

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://doi.org/10.18637/jss.v036.i03

Examples

### copy data into 'dat' and examine data
dat <- dat.viechtbauer2021

### calculate log odds ratios and corresponding sampling variances
dat <- escalc(measure="OR", ai=xTi, n1i=nTi, ci=xCi, n2i=nCi, add=1/2, to="all", data=dat)

### fit mixed-effects meta-regression model
res <- rma(yi, vi, mods = ~ dose, data=dat)

### get studentized residuals
sav <- rstudent(res)
sav
#> 
#>      resid     se       z 
#> 1   0.5344 0.4849  1.1021 
#> 2  -0.3653 0.5163 -0.7076 
#> 3  -0.0468 0.4815 -0.0972 
#> 4  -0.3142 0.4177 -0.7522 
#> 5   0.1743 0.4262  0.4089 
#> 6  -0.9963 0.3195 -3.1187 
#> 7   0.0250 0.3723  0.0672 
#> 8   0.9197 0.7572  1.2147 
#> 9   0.7779 0.3678  2.1149 
#> 10  0.3078 0.4548  0.6768 
#> 11 -0.2261 0.3995 -0.5661 
#> 12 -0.2763 0.4113 -0.6718 
#> 13 -0.6072 0.4468 -1.3590 
#> 14  0.9350 0.7213  1.2964 
#> 15  0.2894 0.4754  0.6087 
#> 16 -0.1011 0.5738 -0.1762 
#> 17  0.2310 0.6001  0.3849 
#> 18  0.0103 0.4944  0.0207 
#> 19  0.3425 0.3941  0.8690 
#> 20 -0.3079 0.4618 -0.6667 
#> 

### studies with studentized residuals larger than +-1.96
sav[abs(sav$z) > 1.96,]
#> 
#>     resid     se       z 
#> 6 -0.9963 0.3195 -3.1187 
#> 9  0.7779 0.3678  2.1149 
#> 

### variables specified are automatically searched for within the object itself
sav[abs(z) > 1.96,]
#> 
#>     resid     se       z 
#> 6 -0.9963 0.3195 -3.1187 
#> 9  0.7779 0.3678  2.1149 
#> 

### note: this behavior is specific to 'rma.list' objects; this doesn't work for regular data frames