dratio_filter {structToolbox} | R Documentation

## Dispersion ratio filter

### Description

The dispersion ratio (d-ratio) compares the standard deviation (or non-parametric equivalent) of the Quality Control (QC) samples relative to the standard deviation (or non-parametric equivalent) of the samples for each feature. If the d-ratio is greater than a predefined threshold then the observed sample variance could be due to technical variance and the feature is removed.

### Usage

    dratio_filter(threshold = 20, qc_label = "QC", factor_name, ...)

### Arguments

`threshold` | (numeric) The threshold below which features are removed. The default is `20`.
`qc_label` | (character) The label used to identify QC samples. The default is `"QC"`.
`factor_name` | (character) The name of a sample-meta column to use.
`...` | Additional slots and values passed to `struct_class`.

### Value

A `dratio_filter` object with the following `output` slots:

`filtered` | (DatasetExperiment) A DatasetExperiment object containing the filtered data.
`flags` | (data.frame) Flag indicating whether the feature was rejected by the filter or not.
`d_ratio` | (data.frame)

### References

Broadhurst D, Goodacre R, Reinke SN, Kuligowski J, Wilson ID, Lewis MR, Dunn WB (2018). “Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies.” Metabolomics, 14(6).

### Examples

    D = MTBLS79_DatasetExperiment()
    M = dratio_filter(threshold=20,qc_label='QC',factor_name='Class')
    M = model_apply(M,D)

[Package structToolbox version 1.6.1 Index]