# Crosshair plot

### Description

Produces a crosshair plot or adds such a plot to an existing plot.

### Usage

1 2 3 4 |

### Arguments

`x` |
a data frame with variables including |

`correction` |
numeric, continuity correction applied to zero cells. |

`level` |
numeric, confidence level for the calculations of confidence intervals. |

`method` |
character, method used to calculate the confidence intervals for sensitivities, specificities and false positive rates. One of |

`xlim` |
part of ROC space to be plotted |

`ylim` |
part of ROC space to be plotted |

`length` |
length of "whiskers" of the crosshair. |

`pch` |
Symbol used to plot point estimates. Use |

`add` |
logical, should the plot be added to the current plot? |

`suppress` |
logical, should the warnings produced by the internal call to |

`...` |
further arguments passed on to |

### Details

Crosshair plots go back to Phillips et al. (2010). Note that for fits of the `reitsma`

function a crosshair method is available to plot pooled estimate, see `reitsma-class`

.

### Value

Besides plotting, the function returns an invisible `NULL`

.

### Author(s)

Philipp Doebler <philipp.doebler@googlemail.com>

### 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

`ROCellipse`

, `reitsma-class`

### Examples

1 2 |

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