stat_hist {barcodetrackR} | R Documentation |
Given a summarized experiment, gives a histogram of the acc assay or choice of metadata.
stat_hist( your_SE, data_choice = "assay stats", assay_choice = "counts", metadata_stat = NULL, group_meta_by = NULL, scale_all_y = FALSE, y_log_axis = FALSE, text_size = 12, n_bins = 30, n_cols = NULL, your_title = NULL )
your_SE |
Your SummarizedExperiment of barcode data and associated metadata. |
data_choice |
Either "assay stats" which allows you to view the distribution of values in the 'assay_choice' assay, or "metadata stats" which allows you to view the distribution of metadata values in your SummarizedExperiment object. |
assay_choice |
When data_choice is set to "assay stats", designates which assay will be used. |
metadata_stat |
When data_choice is set to "metadata stats", The metadata values that will be used. |
group_meta_by |
When data_choice is set to "metadata stats", facet the histogram using this column of metadata. If NULL, no grouping or faceting applied |
scale_all_y |
Logical. Whether or not to plot all plots on the same y axis limits. |
y_log_axis |
Logical. Whether or not to put y axis on log scale |
text_size |
Size of text. |
n_bins |
Number of bins for histograms. Default is 30. |
n_cols |
Number of columns for faceted histograms. If NULL (default) will automatically choose n_cols for facetting. |
your_title |
Character. The title for the plot. |
Histogram of chosen statistics
data(wu_subset) stat_hist( your_SE = wu_subset[, 1], data_choice = "assay stats", assay_choice = "counts" )