# qat_analyse_histogram_test_ms_1d

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

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

- Keywords
- ts

##### Usage

`qat_analyse_histogram_test_ms_1d(measurement_vector, blocksize, numofbars)`

##### 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

##### 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 Mean Square 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_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`

##### Examples

```
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)
```

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