# qat_analyse_histogram_test_jsd_1d

##### Perform a histogram test with the metric JSD

This check divides the data into blocks, estimates their probability density functions by histograms and compares them by using the Jenson-Shannon Divergence.

- Keywords
- ts

##### Usage

```
qat_analyse_histogram_test_jsd_1d(measurement_vector, blocksize, numofbars,
factorofbar)
```

##### Arguments

- 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
- factorofbar
- Correction factor for non-value bins

##### Details

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 Jenson-Shannon Divergence is used. As a result a field is generated, which includes the results of the comparison between every combination of blocks.

##### Value

##### References

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

##### See Also

`qat_analyse_histogram_test_jsd_2d`

, `qat_analyse_histogram_test_kld_1d`

, `qat_analyse_histogram_test_rms_1d`

, `qat_analyse_histogram_test_ms_1d`

, `qat_analyse_histogram_test_emd_1d`

##### Examples

```
vec <- c(rnorm(1000), round(rnorm(1000)))
result <- qat_analyse_histogram_test_jsd_1d(vec, 50, 65, 100)
qat_plot_histogram_test(result$field, "test_jsd_1d", result$blocksize, result$numofbars,
result$factorofbar, "jsd", result$runs)
```

*Documentation reproduced from package qat, version 0.74, License: GPL-2*