plot_qc: Plot a summary of QC results.
In caravagnalab/CNAqc: CNAqc - Copy Number Analysis quality check
plot_qc R Documentation
Plot a summary of QC results.
Description
Results from analyze_peaks and compute_CCF can be
visualised with this function. Compared to individual karyotypes fits available
with function plot_peaks_analysis, for instance, this function reports
summary pass/fail statistics for each analysis.
Usage
plot_qc(x)
Arguments
x
A CNAqc object.
Value
A ggplot2 plot
Examples
data('example_dataset_CNAqc', package = 'CNAqc')
x = init(mutations = example_dataset_CNAqc$mutations, cna = example_dataset_CNAqc$cna, purity = example_dataset_CNAqc$purity)
x = analyze_peaks(x)
x = compute_CCF(x)
plot_qc(x)
caravagnalab/CNAqc documentation built on Oct. 31, 2024, 3:54 a.m.
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| plot_qc | R Documentation |
Plot a summary of QC results.
Description
Results from analyze_peaks and compute_CCF can be
visualised with this function. Compared to individual karyotypes fits available
with function plot_peaks_analysis, for instance, this function reports
summary pass/fail statistics for each analysis.
Usage
plot_qc(x)
Arguments
x |
A CNAqc object. |
Value
A ggplot2 plot
Examples
data('example_dataset_CNAqc', package = 'CNAqc')
x = init(mutations = example_dataset_CNAqc$mutations, cna = example_dataset_CNAqc$cna, purity = example_dataset_CNAqc$purity)
x = analyze_peaks(x)
x = compute_CCF(x)
plot_qc(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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