View source: R/plot_indel_contexts.R
plot_indel_contexts | R Documentation |
Plot the indel contexts
plot_indel_contexts( counts, same_y = FALSE, extra_labels = FALSE, condensed = FALSE )
counts |
A tibble containing the number of indels per COSMIC context. |
same_y |
A boolean describing whether the same y axis should be used for all samples. |
extra_labels |
A boolean describing whether extra labels should be added. These can clarify the plot, but will shift when different plot widths are used. We recommend saving a plot with a width of 12, when using this argument. |
condensed |
More condensed plotting format. Default = F. |
Plots the number of indels COSMIC context per sample. It takes a tibble with counts as its input. This tibble can be generated by 'count_indel_contexts()'. Each sample is plotted in a separate facet. The same y axis can be used for all samples or a separate y axis can be used. The facets at the top show the indel types. First the C and T deletions Then the C and T insertions. Next are the multi base deletions and insertions. Finally the deletions with microhomology (mh) are shown. The x-axis at the bottom shows the number of repeat units. For mh deletions the microhomology length is shown.
A ggplot figure.
count_indel_contexts
, plot_main_indel_contexts
Other Indels:
count_indel_contexts()
,
get_indel_context()
,
plot_compare_indels()
,
plot_main_indel_contexts()
## Get The indel counts ## See 'count_indel_contexts()' for more info on how to do this. indel_counts <- readRDS(system.file("states/blood_indel_counts.rds", package = "MutationalPatterns" )) ## Plot contexts plot_indel_contexts(indel_counts) ## Use the same y axis for all samples. plot_indel_contexts(indel_counts, same_y = TRUE) ## Add extra labels to make plot clearer plot_indel_contexts(indel_counts, extra_labels = TRUE) ## Create a more condensed plot plot_indel_contexts(indel_counts, condensed = TRUE)
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