The RunSequence plot provides an overview of the analysis design and timelines, which can be useful for subsequent processing steps. The plot illustrates the batch structure, the quality control (QC) samples included with their respective positions, and additional information regarding the date, duration, and run time of the analysis.
Setting show_timestamp = TRUE allows you to check for any interruptions in
the analysis timeline.
Usage
plot_runsequence(
data = NULL,
qc_types = NA,
show_batches = TRUE,
show_timestamp = FALSE,
add_info_title = TRUE,
single_row = FALSE,
segment_linewidth = 0.5,
batch_zebra_stripe = FALSE,
batch_line_color = "#b6f0c5",
batch_fill_color = "grey90",
base_font_size = 8
)Arguments
- data
MidarExperiment object
- qc_types
QC types to be plotted. Can be a vector of QC types or a regular expression pattern.
NA(default) displays all available QC/Sample types.- show_batches
Logical, whether to show batch separators in the plot.
- show_timestamp
Logical, whether to use the acquisition timestamp as the x-axis instead of the run sequence number.
- add_info_title
Logical, whether to add a title with the experiment title, analysis date, and analysis times.
- single_row
Logical, whether to show all QC types in a single row.
- segment_linewidth
Width of the segment lines, default is 0.5.
- batch_zebra_stripe
Logical, whether to show batches as shaded areas instead of line separators.
- batch_line_color
Color of the batch separator lines.
- batch_fill_color
Color of the batch shaded areas.
- base_font_size
Numeric, base font size for the plot.