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read_qview_report() reads the flat report
exports Q-View writes next to the binary container – the
..._auto_report and
..._auto_all-parameters_report files, as either
.csv or .xlsx – and returns the same
qview object read_qview() builds. Use it when
only the exports were kept and the original .Q-View project
file is unavailable. It differs from read_qview() in two
deliberate ways:
"Reduced Concentration"
point estimate (one row per sample) with
statistic == "reduced"; and"< 52.50" cell yields
concentration = 52.50 with a new flag column
set to "<" (">" for upper bound,
"incalculable" for Incalculable), so
limit-of-quantification information survives import. A small
example-report.csv fixture ships in
inst/extdata/.Initial release. Pure-R parser for .Q-View binary
project files (chemiluminescent multiplex ELISA plate imaging and
quantification). No Java runtime, no H2 database driver, no compiled
code.
read_qview() now resolves the superseded MVCC page
versions that the embedded H2 container retains. A version truncated at
a 2048-byte page boundary (fewer analytes, or a number cut mid-digit) is
no longer mistaken for the current reading: for each physical (well,
replicate, analyte) the value occurring most often across the committed
page copies wins, breaking ties toward the most complete source row.
Per-well pixel intensities now match Q-View’s own grid exports to 1e-6,
and each well appears once in plate_layout.read_qview_template() auto-detects the field separator,
so semicolon-delimited (European-locale) and tab-delimited templates
parse the same as comma-delimited ones.plot(type = "replicate_scatter") no longer errors when
a well-group label maps to more than one well; duplicate readings are
averaged.read_qview(path, strip_prefix = FALSE): parses a
.Q-View container and returns a list of class
qview with project metadata, the analyte panel (units, LOD
/ LLOQ / ULOQ, assay-control range), well-group sample assignments,
per-well replicate pixel intensities, summary statistics, optional
back-calculated concentrations, curve fits, and a plate layout (all tidy
tibbles).read_qview_template(): parses the companion
well-assignment template CSV (NxM layout with Group Name / Group Type /
Dilution Factor sections).strip_qview_prefix(): reverses the producer-side naming
convention (ICal N -> Cal N,
GLow -> Low, HHigh ->
High, NFD... / N1234... ->
original sample ID).well_label(): vectorised plate-coordinate helper.is_qview(): predicate for the S3 class.print.qview(): compact one-screen summary.summary.qview(): per-analyte mean / SD / CV / min / max
grouped by well type, returned as a qview_summary tibble
with its own print method.plot.qview(type = ...): quick-look plate map,
per-analyte intensity heatmap, and replicate-1-vs-2 scatter; viridis
throughout.as_tibble.qview(): long-format pixel-intensity
tibble.write_qview_xlsx(), write_qview_csv(),
write_qview_rds(): pipe-friendly writers that return the
parsed object invisibly. qview_to_xlsx() /
qview_to_csv_dir() are kept as
lifecycle::deprecate_warn() aliases for
back-compatibility.qview_app(): monochrome bslib Shiny app with built-in
dark/light toggle, hex-sticker brand, large upload cap (default 512 MB),
per-table xlsx download, and a publication-ready 2x2 Overview tab (plate
layout / pixel-intensity distribution / replicate concordance / mean PI
by well type) with high-DPI PNG and vector PDF export.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.