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.
The output of nmr_detect_peaks()
A numeric vector with the breaks that will be used to count the number of the detected peaks.
If peak_data
contains a logical column named accepted
, only those with accepted=TRUE
will be counted.
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.
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.
Peak_detection
Other peak detection functions:
Pipelines
,
nmr_baseline_threshold()
,
nmr_detect_peaks_plot()
,
nmr_detect_peaks_tune_snr()
,
nmr_detect_peaks()
,
nmr_identify_regions_blood()
,
nmr_identify_regions_cell()
,
nmr_identify_regions_urine()
,
nmr_integrate_regions()