zero.noise: Add random noise to zero values in square matrix
In joheli/yea13: Identification of Putative Clusters in Surveillance Data According to Algorithm by Ypma et al. 2013
Description
Usage
Arguments
Value
Description
This is a helper function used by mx.expand.
Usage
1
zero.noise(x, lo = 0, hi = 0.01, exclude.diag = TRUE)
Arguments
x
A numerical square matrix.
lo
A numeric specifying the lower boundary of to be inserted random values (random values are generated with runif).
hi
A numeric specifying the upper boundary of to be inserted random values.
exclude.diag
A logical stating whether the diagonal values should be left alone; defaults to TRUE.
Value
A numerical square matrix with random noise added to zero values.
joheli/yea13 documentation built on Sept. 18, 2020, 11:21 p.m.
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Description Usage Arguments Value
Description
This is a helper function used by mx.expand.
Usage
1 | zero.noise(x, lo = 0, hi = 0.01, exclude.diag = TRUE)
|
Arguments
x |
A numerical square matrix. |
lo |
A numeric specifying the lower boundary of to be inserted random values (random values are generated with |
hi |
A numeric specifying the upper boundary of to be inserted random values. |
exclude.diag |
A logical stating whether the diagonal values should be left alone; defaults to TRUE. |
Value
A numerical square matrix with random noise added to zero values.
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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