High-Performance Open-Source Archive
multiqc_data.json file with
report_saved_raw_data containing arrays of data would break
the parser [#7]multiqc_data.json file with
report_general_stats_data containing arrays of data would
break the parser [#7]plots vector is not provided but
sections = "plot" [#5]plot_opts key from the
load_multiqc function. Instead, the plots are returned as
list columns with nested data frames inside the returned data frame.
Users are then able to parse out summary statistics using normal
dplyr and tidyr functions. Refer to the
vignette for examples. Also, instead of selecting plots using the names
of this argument, they are selected using the new plots
option (documented below) [#1].sections argument.
This ensures consistency with the data frame column names for plots,
which are “plot.XX”.metadata.sample_id is now always the first column in
the data frame, even if you have provided a metadata function.list_plots() utility function for listing the
available plots [#2].plot_parsers argument to
load_multiqc which allows for custom parsers for diverse
plot types in MultiQC.plots argument to load_multiqc,
which is a vector of plot identifiers to parse.
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