nmr_identify_regions_blood {AlpsNMR} | R Documentation

## NMR peak identification (plasma/serum samples)

### Description

Identify given regions and return a data frame with plausible assignations in human plasma/serum samples.

### Usage

    nmr_identify_regions_blood(
      ppm_to_assign,
      num_proposed_compounds = 3,
      verbose = FALSE
    )

### Arguments

`ppm_to_assign` | A vector with the ppm regions to assign
`num_proposed_compounds` | set the number of proposed metabolites sorted by the number times reported in the HMDB: `HMDB_blood`.
`verbose` | Logical value. Set it to TRUE to print additional information

### Value

a data frame with plausible assignations.

### See Also

Other peak detection functions: `Pipelines`, `nmr_baseline_threshold()`, `nmr_identify_regions_cell()`, `nmr_identify_regions_urine()`, `nmr_integrate_regions()`, `regions_from_peak_table()`, `validate_nmr_dataset_peak_table()`

Other peak integration functions: `Pipelines`, `computes_peak_width_ppm()`, `nmr_identify_regions_cell()`, `nmr_identify_regions_urine()`, `nmr_integrate_regions()`, `validate_nmr_dataset_peak_table()`

### Examples

    # We identify regions from from the corresponding ppm storaged in a vector.
    ppm_to_assign <- c(4.060960203, 3.048970634,2.405935596,
    3.24146865,0.990616851,1.002075066,0.955325548)
    identification <- nmr_identify_regions_blood (ppm_to_assign)

[Package AlpsNMR version 3.2.3 Index]