First release on CRAN
(doi:10.32614/CRAN.package.qviewparsR).
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_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A small example-report.csv fixture ships in inst/extdata/.read_qview() now resolves the superseded MVCC page versions that the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.