PlotBinormalFit: Plot binormal fit
In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance
View source: R/PlotBinormalFit.R
PlotBinormalFit R Documentation
Plot binormal fit
Description
Plot the binormal-predicted ROC curve with provided parameters
Usage
PlotBinormalFit(a, b)
Arguments
a
vector: the mean(s) of the diseased distribution(s).
b
vector: the standard deviations(s) of the diseased distribution(s).
Details
a and b must have the same length. The predicted ROC curve
for each a and b pair will be plotted.
Value
A ggplot2 object of the plotted ROC curve(s) are returned.
Use print function to display the saved object.
Examples
binormalPlot <- PlotBinormalFit(c(1, 2), c(0.5, 0.5))
## print(binormalPlot)
dpc10ster/rjafroc documentation built on Jan. 18, 2024, 4:37 a.m.
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View source: R/PlotBinormalFit.R
| PlotBinormalFit | R Documentation |
Plot binormal fit
Description
Plot the binormal-predicted ROC curve with provided parameters
Usage
PlotBinormalFit(a, b)
Arguments
a |
vector: the mean(s) of the diseased distribution(s). |
b |
vector: the standard deviations(s) of the diseased distribution(s). |
Details
a and b must have the same length. The predicted ROC curve
for each a and b pair will be plotted.
Value
A ggplot2 object of the plotted ROC curve(s) are returned.
Use print function to display the saved object.
Examples
binormalPlot <- PlotBinormalFit(c(1, 2), c(0.5, 0.5))
## print(binormalPlot)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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