hyper_out: Data from a hyperbolic tangent function with two outliers.
In weiyaw/blackbox: A SMC-SA Algorithm for Constrained Optimisation
Description
A simulated dataset from a hyperbolic tangent function y = 1 + tanh(x - 3) + eps, where 'eps' is a Gaussian noise with 0 mean and 0.3 standard deviation. This dataset is corrupted with two outliers (2nd and 29th rows).
Usage
1
Format
A data frame with 30 rows and 2 columns (x and y).
- x
30 equidistant numbers from 0 to 6.
- y
responses corresponds to each x.
weiyaw/blackbox documentation built on June 7, 2019, 5:12 a.m.
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Description
A simulated dataset from a hyperbolic tangent function y = 1 + tanh(x - 3) + eps, where 'eps' is a Gaussian noise with 0 mean and 0.3 standard deviation. This dataset is corrupted with two outliers (2nd and 29th rows).
Usage
1 |
Format
A data frame with 30 rows and 2 columns (x and y).
- x
30 equidistant numbers from 0 to 6.
- y
responses corresponds to each x.
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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