Last data update: 2014.03.03

R: Crosshair Plot.
crosshair.meta4diagR Documentation

Crosshair Plot.

Description

Takes a meta4diag object produced by the function meta4diag() and produces a crosshair plot or adds such a plot to an existing plot. Crosshair plots go back to Phillips et al. (2010).

Usage

crosshair(x,...)
## S3 method for class 'meta4diag'
crosshair(x, est.type = "mean", add = FALSE, save = F, xlim, ylim, xlab, ylab, ...)

Arguments

x

A meta4diag object.

est.type

The estimates type used to make crosshair plot. Options are "mean" and "median".

add

If add is TRUE, the plots are added to an existing plot, otherwise a new plot is created.

save

If save is TRUE, the plots are saved (pdf format) automatically in the folder where the data is loaded. save could also be a file name, i.e. save="plot1.eps", a file with name plot1 and eps format will be saved in the folder where the data is loaded.

xlim

A numeric value, giving the x coordinates ranges.

ylim

A numeric value, giving the y coordinates ranges.

xlab

A title for the x axis.

ylab

A title for the y axis.

...

graphics parameters can also be passed to this function.

Value

Besides plotting, the function returns an invisible NULL.

Author(s)

Jingyi Guo

References

Phillips, B., Stewart, L.A., & Sutton, A.J. (2010). "'Cross hairs' plots for diagnostic meta-analysis." Research Synthesis Methods, 1, 308-315.

See Also

meta4diag

Examples

## Not run: 
if(requireNamespace("INLA", quietly = TRUE)){
  require("INLA", quietly = TRUE)
  data(Catheter)
  res <- meta4diag(data = Catheter)
  crosshair(res, est.type="mean")
}

## End(Not run)

Results