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Overview of the peak detection results

Source: R/nmr_detect_peaks_align.R
nmr_detect_peaks_plot_overview.Rd

This plot allows to explore the performance of the peak detection across all the samples, by summarizing how many peaks are detected on each sample at each chemical shift range.

Usage

nmr_detect_peaks_plot_overview(
  peak_data,
  ppm_breaks = pretty(range(peak_data$ppm), n = 20),
  accepted_only = TRUE
)

Arguments

peak_data

The output of nmr_detect_peaks()

ppm_breaks

A numeric vector with the breaks that will be used to count the number of the detected peaks.

accepted_only

If peak_data contains a logical column named accepted, only those with accepted=TRUE will be counted.

Value

A scatter plot, with samples on one axis and chemical shift bins in the other axis. The size of each dot represents the number of peaks found on a sample within a chemical shift range.

Details

You can use this plot to find differences in the number of detected peaks across your dataset, and then use nmr_detect_peaks_plot() to have a finer look at specific samples and chemical shifts, and assess graphically that the peak detection results that you have are correct.

See also

Peak_detection

Other peak detection functions: Pipelines, nmr_baseline_threshold(), nmr_detect_peaks(), nmr_detect_peaks_plot(), nmr_detect_peaks_tune_snr(), nmr_identify_regions_blood(), nmr_identify_regions_cell(), nmr_identify_regions_urine(), nmr_integrate_regions()