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crosshair {mada}

Crosshair plot
Package: 
mada
Version: 
0.5.4

Description

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

Usage

 
## S3 method for class 'default':
crosshair((x, correction = 0.5, level = 0.95, method = "wilson",
                      xlim = c(0,1), ylim = c(0,1), length = 0.1, pch = 1, 
                      add = FALSE, suppress = TRUE, ...))

Arguments

x
a data frame with variables including TP, FN, FP, TN, alternatively a matrix with column names including these.
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 "wald", "wilson", "agresti-coull", "jeffreys", "modified wilson", "modified jeffreys", "clopper-pearson", "arcsine", "logit", "witting"
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 pch = "" to suppress plotting point estimates.
add
logical, should the plot be added to the current plot?
suppress
logical, should the warnings produced by the internal call to madad be suppressed? Defaults to TRUE, since only the diagnostic accuracies and their confidence intervals are used in subsequent calculations.
...
further arguments passed on to plot.

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.

Values

Besides plotting, the function returns an invisible NULL.

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

data(AuditC)
crosshair(AuditC)

Author(s)

Philipp Doebler

Documentation reproduced from package mada, version 0.5.4. License: GPL-2