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

View source: R/qat_analyse_histogram_test_ms_1d.R

This check divides the data into blocks, estimates their probability density functions by histograms and compares them by using the Mean Square.

1 | ```
qat_analyse_histogram_test_ms_1d(measurement_vector, blocksize, numofbars)
``` |

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

`blocksize` |
Number of elements in the first dimension, which should be used for each block |

`numofbars` |
Number of bins of the histogram |

The vector will be divided into blocks, with a length given by the parameter blocksize. From these blocks histograms are computed and afterwards compared. As a metric for the comparison the Mean Square is used. As a result a field is generated, which includes the results of the comparison between every combination of blocks.

It returns a list with the following entries:

`field` |
Result matrix of the comparison. |

`blocksize` |
Size of blocks in the first dimension. |

`numofbars` |
Number of bins of the used histograms. |

`metric` |
Used metric in the comparisons. |

`runs` |
Number of blocks, which are compared. |

Andre Duesterhus

Duesterhus, A., Hense, A. (2012) Advanced Information Criterion for Environmental Data Quality Assurance, \_Advances in Science and Research\_, *8*, 99-104.

`qat_analyse_histogram_test_ms_2d`

, `qat_analyse_histogram_test_kld_1d`

, `qat_analyse_histogram_test_jsd_1d`

, `qat_analyse_histogram_test_rms_1d`

, `qat_analyse_histogram_test_emd_1d`

1 2 3 4 | ```
vec <- c(rnorm(1000), rnorm(1000)+2)
result <- qat_analyse_histogram_test_ms_1d(vec, 50, 65)
qat_plot_histogram_test(result$field, "test_ms_1d", result$blocksize,
result$numofbars, "ms", result$runs)
``` |

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

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