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ThresholdROC (version 2.2)

lines.thres2: Add threshold lines to a plot (two-state setting)

Description

The function includes vertical lines for the threshold and confidence interval in a plot created with plot.thres2().

Usage

## S3 method for class 'thres2':
lines(x, ci = TRUE, which.boot = c("norm", "perc"),
  col = 1, lty = c(1, 2), lwd = 1, ...)

Arguments

x
an object of class thres2.
ci
should the confidence interval be plotted? Default, TRUE.
which.boot
in case x contains confidence intervals computed by bootstrapping, which one should be printed? The user can choose between "norm" (based on normal distribution) or "perc" (based on percentiles). Default, "norm
col
color for the threshold and its corresponding confidence interval. Default, 1.
lty
a 2-dimensional vector containing: lty[1]: line type for the threshold lty[2]: line type for the confidence interval Default, c(1, 2).
lwd
line width for the threshold and its corresponding confidence interval. Default, 1.
...
further arguments to be passed to abline().

Value

  • With a plot.thres2 open, this function adds lines for the required threshold.

References

Skaltsa K, Jover L, Carrasco JL. (2010). Estimation of the diagnostic threshold accounting for decision costs and sampling uncertainty. Biometrical Journal 52(5):676-697.

See Also

thres2, plot.thres2

Examples

Run this code
n1 <- 100
n2 <- 100
set.seed(1234)
par1.1 <- 0
par1.2 <- 1
par2.1 <- 2
par2.2 <- 1
rho <- 0.2
k1 <- rnorm(n1, par1.1, par1.2) # non-diseased
k2 <- rnorm(n2, par2.1, par2.2) # diseased

thres <- thres2(k1, k2, rho, method="eq", ci.method="d")
plot(thres, col=c(1, 2, 4), lwd=c(2, 2, 1), leg.pos="topright")

thresboot <- thres2(k1, k2, rho, method="emp", ci.method="b")
lines(thresboot, col=3, which.boot="norm")

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