makeRandomTestData: generate a long vector of example data that is suitable to...
In HilbertVis: Hilbert curve visualization
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function generates a long numeric vector and fills it with many narrow Gaussian
peaks of varying width and position. Around 30
the distribution of peak width is changed to be substantially larger. This
feature is easily visible with the Hilbert curve visualization but much harder to
spot with conventional 1D plots.
Usage
1
makeRandomTestData(len = 1e+07, numPeaks = 500)
Arguments
len
Length of the vector
numPeaks
Number of peaks to be placed in the vector
Value
A vector, of type 'numeric', with sample data.
Author(s)
Simon Anders, EMBL-EBI, sanders@fs.tum.de
Examples
1
# See the help page of function 'hilbertImage' for an example.
HilbertVis documentation built on Nov. 8, 2020, 6:50 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function generates a long numeric vector and fills it with many narrow Gaussian peaks of varying width and position. Around 30 the distribution of peak width is changed to be substantially larger. This feature is easily visible with the Hilbert curve visualization but much harder to spot with conventional 1D plots.
Usage
1 | makeRandomTestData(len = 1e+07, numPeaks = 500)
|
Arguments
len |
Length of the vector |
numPeaks |
Number of peaks to be placed in the vector |
Value
A vector, of type 'numeric', with sample data.
Author(s)
Simon Anders, EMBL-EBI, sanders@fs.tum.de
Examples
1 | # See the help page of function 'hilbertImage' for an example.
|
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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