accuracyTableVis: Create an accuracy table visualization
In prpatil/healthvis: Interactive visualizations of health data
Description
Usage
Arguments
Examples
Description
accuracyTableVis allows users to examine the effect of changing
a test's sensitivity and specificity or adjusting the prevalence of the
disease being tested. Changes in the number of true positives (TP), false
positives (FP), true negatives (TN), and false negatives (FN)
are reactively displayed.
Usage
1
2
accuracyTableVis(plot.title = "Sensitivity/Specificity Plot",
colors = c("deepskyblue", "orangered"))
Arguments
plot.title
The title of the plot to be created
colors
The colors used (two colors, first for TP/TN)
Examples
1
prpatil/healthvis documentation built on May 26, 2019, 10:32 a.m.
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Description Usage Arguments Examples
Description
accuracyTableVis allows users to examine the effect of changing
a test's sensitivity and specificity or adjusting the prevalence of the
disease being tested. Changes in the number of true positives (TP), false
positives (FP), true negatives (TN), and false negatives (FN)
are reactively displayed.
Usage
1 2 | accuracyTableVis(plot.title = "Sensitivity/Specificity Plot",
colors = c("deepskyblue", "orangered"))
|
Arguments
plot.title |
The title of the plot to be created |
colors |
The colors used (two colors, first for TP/TN) |
Examples
1 |
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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