matrixOutliers: Plots data outliers based on first eigen vector
In moosik/snorm: Supporting function for supervised exploration of data structure
Description
Usage
Arguments
Value
See Also
Description
The function takes the eigen vector provided, orders it's values,
takes the minimum and the maximum, finds the corresponding columns
in the provided data matrix and creates a scatter plot of these
vectors. Adds a line with intercept 0 and the slope 1. This kind of
plot is generally produced for the first eigen vector.
Usage
1
matrixOutliers(data, pc)
Arguments
data
a matrix for which an SVD was computed
pc
vector corresponding to an eigen vector of the SVD
Value
a ggplot object
See Also
moosik/snorm documentation built on May 23, 2019, 6:11 a.m.
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Description Usage Arguments Value See Also
Description
The function takes the eigen vector provided, orders it's values, takes the minimum and the maximum, finds the corresponding columns in the provided data matrix and creates a scatter plot of these vectors. Adds a line with intercept 0 and the slope 1. This kind of plot is generally produced for the first eigen vector.
Usage
1 | matrixOutliers(data, pc)
|
Arguments
data |
a matrix for which an SVD was computed |
pc |
vector corresponding to an eigen vector of the SVD |
Value
a ggplot object
See Also
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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