Produces a crosshair plot or adds such a plot to an existing plot.
# S3 method for 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, ...)Besides plotting, the function returns an invisible NULL.
a data frame with variables including TP, FN, FP, TN, alternatively a matrix with column names including these.
numeric, continuity correction applied to zero cells.
numeric, confidence level for the calculations of confidence intervals.
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"
part of ROC space to be plotted
part of ROC space to be plotted
length of "whiskers" of the crosshair.
Symbol used to plot point estimates. Use pch = "" to suppress plotting point estimates.
logical, should the plot be added to the current plot?
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.
Philipp Doebler <philipp.doebler@googlemail.com>
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.
Phillips, B., Stewart, L.A., & Sutton, A.J. (2010). “'Cross hairs' plots for diagnostic meta-analysis.” Research Synthesis Methods, 1, 308--315.
ROCellipse, reitsma-class
data(AuditC)
crosshair(AuditC)
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