Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/qat_analyse_slide_distribution_1d.R

The measurement vector will be scanned stepwise by a sliding window, and on every step some statistical parameters will be calculated.

1 | ```
qat_analyse_slide_distribution_1d(measurement_vector, blocksize)
``` |

`measurement_vector` |
The measurement vector, which should be tested |

`blocksize` |
Length of the sliding window |

The measurement vector will be scanned stepwise by a sliding window, which got a length of the given parameter blocksize. At every step some statistical parameters will be calculated for the actual window. As a result a list will be given back, with these parameters, where every entry got a length of the length of the measurement vector minus the blocksize plus one.

It returns a list with the following entries:

`first_moment` |
First moment of the measurement vector |

`second_moment` |
Second moment of the measurement vector |

`third_moment` |
Third moment of the measurement vector |

`fourth_moment` |
Fourth moment of the measurement vector |

`standard_deviation` |
Standard deviation of the measurement vector |

`skewness` |
Skewness of the measurement vector |

`kurtosis` |
Kurtosis of the measurement vector |

`median` |
Median of the measurement vector |

`p5_quantile` |
5 percent quantile of the measurement vector |

`p95_quantile` |
95 percent quantile of the measurement vector |

`p25_quantile` |
25 percent quantile of the measurement vector |

`p75_quantile` |
75 percent quantile of the measurement vector |

`blocksize` |
Length of the used blocks |

Andre Duesterhus

`qat_plot_slide_distribution_1d`

1 2 | ```
vec <- rnorm(100)
result <- qat_analyse_slide_distribution_1d(vec, 10)
``` |

qat documentation built on May 30, 2017, 8:27 a.m.

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