CRAN preparation.
Delta ~ "= +4.2%") and an ASCII minus sign, so it renders
on every graphics device including the pdf() device used by
R CMD check. Previously the literal U+0394 and U+2212
glyphs failed with “conversion failure … mbcsToSbcs” on devices with
single-byte encodings.@importFrom tags joined;
NAMESPACE is now generated by roxygen2.dplyr, grid and magrittr
removed from Imports (never used)..Rbuildignore added; developer notes no longer ship in
the tarball.Publication-quality rendering refinements.
mirror_slope_plot() gains y_percent
(default TRUE) to format y-axis ticks and header statistics
with a percent sign; set FALSE for absolute-scale
outcomes.mirror_slope_plot() gains jitter_points
(default FALSE) to spread overlapping individual endpoints
horizontally for readability, reproducible via seed.y_percent = TRUE.Individual trajectory lines are now drawn from each subject’s baseline to the central endpoint only, grouped by arm and subject, so no line crosses the centre or connects across arms. This removes the main source of visual clutter.
Mean-endpoint diamonds now sit on a small white halo so they read cleanly where the converging lines crowd the central knot.
Directional arrows are lighter and smaller, receding as chart furniture.
The difference bracket is now a thin hairline matching the axis weight, with short inward serifs and more space before the annotation text, for a cleaner measurement mark.
Chart furniture (axis lines, ticks, gridlines, reference lines, arrows) now uses a single coherent light hairline family so nothing competes with the data.
Slope echoes are shorter and more muted, reading as a subtle continuation hint rather than data.
theme_mirror() now sets a clean sans typeface, a
clear title/subtitle/caption hierarchy, and refined spacing;
base_family defaults to a Helvetica/Arial/sans stack and
can be overridden.
Default mean-line width and marker size were reduced slightly for print.
save_path documents vector output (.pdf/.svg) for
journal submission.
Initial release.
prep_mirror_data() prepares a long analysis dataset
into a mirror_data object: validates structure, applies
population flags with AND logic, retains baseline and endpoint visits,
assigns role columns, counts analysed N per arm, and records provenance
metadata (schema version, filters, timestamp, call).add_summary() attaches group-level estimates and the
baseline each mean line is drawn from, supporting both
change-from-baseline (baseline 0) and absolute-scale outcomes.add_precision() attaches per-arm standard errors or
confidence intervals.add_difference() attaches the between-arm difference
with optional standard error, confidence interval, and p-value; warns on
sign inconsistency.mirror_slope_plot() renders the figure as a standard
ggplot object. Optional elements (individual trajectories,
difference band, relative-benefit annotation, per-arm precision, N in
the strip header) are off by default and shown only on request. The
annotation zone auto-expands the x-axis without altering the data
panel.mirror_palette() provides "default",
"colorblind" (Okabe-Ito), and "capricor"
palettes.theme_mirror() supplies a publication theme with
proportional text scaling.print(), summary(), and
as.data.frame() for mirror_data.mirror_data structure conforms to a versioned
specification (schema 1.0) shared with a companion SAS macro, so both
tools produce equivalent figures from equivalent inputs.direction describes the direction of numeric movement
(endpoint versus baseline). For outcomes where the favourable direction
is unusual, supply outcome_label and
benefit_label explicitly.mirrorslope.