area_of_confidence: Calculates area contained within 2D KDE confidence boundary
In Swarchal/Smisc: Scott's Misc Functions
Description
Usage
Arguments
Value
Examples
Description
Produces a confidence boudnary wth a 2D kernel density estimate from a bivariate scatter plot,
and then calculates the area within the confidence boundary.
Usage
1
area_of_confidence(x, y, confidence = 0.9)
Arguments
x
Values to be used on the x-axis
y
Values to be used on the y-axis
confidence
Confidence interval between 0 and 1
Default is 0.9, i.e 90% confidence inverval
Value
The area within the calculated confidence boundary
Examples
1
2
x <- rnorm(1000) ; y <- rnorm(1000)
area_of_confidence(x, y)
Swarchal/Smisc documentation built on May 9, 2019, 3:23 p.m.
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Description Usage Arguments Value Examples
Description
Produces a confidence boudnary wth a 2D kernel density estimate from a bivariate scatter plot, and then calculates the area within the confidence boundary.
Usage
1 | area_of_confidence(x, y, confidence = 0.9)
|
Arguments
x |
Values to be used on the x-axis |
y |
Values to be used on the y-axis |
confidence |
Confidence interval between 0 and 1 Default is 0.9, i.e 90% confidence inverval |
Value
The area within the calculated confidence boundary
Examples
1 2 | x <- rnorm(1000) ; y <- rnorm(1000)
area_of_confidence(x, y)
|
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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