Description Usage Arguments Details Value Examples

Use this function to find out about the rate of successful recognition of a simple HS pattern for any smoothing function of your choice. Speciffy the noise and other testing conditions.

1 2 | ```
test.smoother(n = 1, m = 5, incr = 1, max = 20, smoother,
pattern = TRUE, ntype = "white", ...)
``` |

`n` |
number of runs |

`m` |
number of runs per level of noise |

`incr` |
value by which the error is increased in each turn |

`max` |
max number of times the error is increased |

`smoother` |
Function with pre-defined inputs, so that only the parameter |

`pattern` |
Check whether pattern was recognised. If |

`ntype` |
Noise type. See |

`...` |
other parameters the smoother requires |

For an overview of the package capabilities, click here rpatrec. Note that this function may be extremely computationally demanding.

Vector of recognition rates for specified levels of noise

1 2 3 4 5 6 7 | ```
## Not run:
#Test the kernel regression smoother
a <- test.smoother(n=5,m=10,incr=0.5,max=50,smoother = kernel,bandwidth=1)
#Plot the result
plot(a,type='l')
## End(Not run)
``` |

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