createData: Create toy data
In AEBilgrau/correlateR: Fast correlations and covariances
Description
Usage
Arguments
Value
Note
Examples
Description
Creates a named matrix of toy data from an m-dimensional
zero-mean normal distribution with identity covariance matrix.
For convenience in various examples and tests.
Usage
1
createData(n, m, n.na = 0)
Arguments
n
A non-negative integer giving the number of observations/samples.
m
A non-negative integer giving the number of variables/features.
n.na
An integer from 0 to n*m giving the number of
NAs in the output. Default is 0.
Value
An n times m numeric matrix of observations from
zero-mean Gaussian random variables.
Note
The n.na NAs are randomly inserted in the output.
Examples
1
2
3
4
5
6
createData(10, 4)
createData(1, 2)
# Also works for the degenerate cases!
createData(3, 0)
createData(0, 3)
AEBilgrau/correlateR documentation built on Nov. 15, 2019, 9:21 a.m.
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Description Usage Arguments Value Note Examples
Description
Creates a named matrix of toy data from an m-dimensional
zero-mean normal distribution with identity covariance matrix.
For convenience in various examples and tests.
Usage
1 | createData(n, m, n.na = 0)
|
Arguments
n |
A non-negative integer giving the number of observations/samples. |
m |
A non-negative integer giving the number of variables/features. |
n.na |
An integer from |
Value
An n times m numeric matrix of observations from
zero-mean Gaussian random variables.
Note
The n.na NAs are randomly inserted in the output.
Examples
1 2 3 4 5 6 | createData(10, 4)
createData(1, 2)
# Also works for the degenerate cases!
createData(3, 0)
createData(0, 3)
|
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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