toyData: Generates toy data from sequential Gaussian distributions
In labsyspharm/ordinalRidge: Fast solver for ordinal logistic regression with a ridge penalty
Description
Usage
Arguments
Value
Description
The ni data points for the i^th class are generated from N(i,stdevi).
Coordinates are assumed to be indepedent (i.e., covariance is the identity matrix).
Usage
1
toyData(n, p, nb = 6, stdev = 1)
Arguments
n
Desired number of samples in each class. Values are recycled.
p
Data dimensionality
nb
Number of boundaries (== number of classes - 1)
stdev
Standard deviation of each Gaussian. Values are recycled.
Value
A list with the following elements:
- X
A ns-by-p matrix of ns = sum(n) data points in p dimensions
- y
A matching ordered factor of length ns containing true labels
labsyspharm/ordinalRidge documentation built on Dec. 21, 2021, 8:49 a.m.
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Description Usage Arguments Value
Description
The ni data points for the i^th class are generated from N(i,stdevi). Coordinates are assumed to be indepedent (i.e., covariance is the identity matrix).
Usage
1 | toyData(n, p, nb = 6, stdev = 1)
|
Arguments
n |
Desired number of samples in each class. Values are recycled. |
p |
Data dimensionality |
nb |
Number of boundaries (== number of classes - 1) |
stdev |
Standard deviation of each Gaussian. Values are recycled. |
Value
A list with the following elements:
- X
A ns-by-p matrix of ns = sum(n) data points in p dimensions
- y
A matching ordered factor of length ns containing true labels
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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