lcms_fill_chrom_peaks: Filling missing values in a peak table

In sipss/NIHSlcms: Signal processing of LC-MS metabolomics

Description

In the imputation stage, the areas of the missing peaks of the peak table that were not detected in the previous steps of the signal preprocessing workflow were integrated.

Usage

lcms_fill_chrom_peaks(peak_table)

Arguments

peak_table

A table of peaks with (possibly) missing values.

Value

A peak table where the missing peaks have been filled.

See Also

Other dataset functions: IPO_group_peaks(), find_peaks_cwp(), lcms_dataset_load(), lcms_dataset_save(), lcms_filter_mz(), lcms_filter_polarity(), lcms_filter_rt_min(), lcms_filter_sample_type(), lcms_meta_add(), lcms_meta_export(), lcms_plot_chrom_peak_image(), lcms_plot_tics(), lcms_rearrange_datafiles_by_class(), lcms_retention_time_alignment_plot(), lcms_tics(), obiAdjust_Rtime(), peakpicking_optimization(), phData()

Examples

## Not run: 
file_name <-  system.file("extdata", "peak_table.rds", package = "AlpsLCMS")
peak_table <- base::readRDS(file_name)
peak_table_imputed <- lcms_fill_chrom_peaks(peak_table)

print(peak_table_imputed)

## End(Not run)

sipss/NIHSlcms documentation built on May 13, 2021, 6:19 p.m.