qviewparsR 1.0.0

qviewparsR 0.1.9

New features

• 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:
  • it captures the plain "Reduced Concentration" point estimate (one row per sample) with statistic == "reduced"; and
  • it preserves out-of-range cells instead of dropping them: a "< 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/.

qviewparsR 0.1.9

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.

Reliability

• read_qview() now resolves the superseded MVCC page versions that the embedded H2 container retains.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.

Reader

• 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).

Helpers

• 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.

Methods

• 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.

Export

• 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.

Interactive front-end

• 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.