plot.gsym.point: Default plotting of a gsym.point object

In GsymPoint: Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests

Default plotting of a gsym.point object

Description

On the basis of a gsym.point object, it is used to plot the Receiver Operating Characteristic (ROC) curve, the line y = 1-\rho t and the optimal ROC coordinates associated to the Generalized Symmetry point.

Usage

## S3 method for class 'optimal.cutpoints'
## S3 method for class 'gsym.point'
plot(x, xlab, ylab, main, ...)

Arguments

x	an object of class gsym.point as produced by the gsym.point() function
xlab	the x axis label of the plot. By default this label is set to "False Positive Rate"
ylab	the y axis label of the plot. By default this label is set to "True Positive Rate"
main	the title of the plot. By default this title is set to "Empirical ROC Curve and line y = 1-\rho x"
...	further arguments passed to or from other methods

Author(s)

Mónica López-Ratón, Carmen Cadarso-Suárez, Elisa M. Molanes-López and Emilio Letón

See Also

gsym.point, control.gsym.point

Examples

library(GsymPoint)

data(melanoma)

###########################################################
# Generalized Pivotal Quantity Method ("GPQ"): 
###########################################################

gsym.point.GPQ.melanoma<-gsym.point(methods = "GPQ", data = melanoma,
marker = "X", status = "group", tag.healthy = 0, categorical.cov = NULL, 
CFN = 1, CFP = 1, control = control.gsym.point(),confidence.level = 0.95, 
trace = FALSE, seed = FALSE, value.seed = 3, verbose = FALSE)

plot(gsym.point.GPQ.melanoma)


data(prostate)

###########################################################
# Generalized Pivotal Quantity Method ("GPQ"): 
###########################################################

gsym.point.GPQ.prostate <- gsym.point (methods = "GPQ", data = prostate,
marker = "marker", status = "status", tag.healthy = 0, categorical.cov = NULL, 
CFN = 1, CFP = 1, control = control.gsym.point(), confidence.level = 0.95, 
trace = FALSE, seed = FALSE, value.seed = 3, verbose = FALSE)

plot(gsym.point.GPQ.prostate)


data(elastase)

###########################################################
# Generalized Pivotal Quantity Method ("GPQ"): 
###########################################################

gsym.point.GPQ.elastase <- gsym.point(methods = "GPQ", data = elastase, 
marker = "elas", status = "status", tag.healthy = 0, categorical.cov = NULL, 
CFN = 1, CFP = 1, control = control.gsym.point(), confidence.level = 0.95, 
trace = FALSE, seed = FALSE, value.seed = 3, verbose = FALSE) 

plot(gsym.point.GPQ.elastase)

GsymPoint documentation built on Nov. 2, 2023, 5:59 p.m.