crosshair: Crosshair Plot.

In meta4diag: Meta-Analysis for Diagnostic Test Studies

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

  ## S3 method for class 'meta4diag'
crosshair(x, est.type = "mean", add = FALSE, main="Crosshair Plot", xlim, ylim, col, ...)

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.
main	A overall title for the plot.
xlim	A numeric value, giving the x coordinates ranges.
ylim	A numeric value, giving the y coordinates ranges.
col	Color of cross.
...	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)

Example output

Loading required package: sp
Loading required package: grid
Loading required package: shiny
Loading required package: shinyBS
Loading required package: caTools

meta4diag documentation built on Dec. 11, 2021, 9:43 a.m.