ggtaichi 0.2.0

New features

• Data-driven eyes (eyes = TRUE): draw the classic taichi dots, each centred in its own fish’s head (yin in the top bulb, yang in the bottom bulb). yin_eye_size / yang_eye_size and yin_eye_colour / yang_eye_colour accept either a constant or an unquoted data column, so a single glyph can now encode up to six dimensions (x, y, two fills, two eyes) (#3b).
• Rotation (angle): rotate each glyph by a constant number of degrees or by a data column, encoding a directional or temporal variable as orientation, and unlocking spin animations (#3a).
• Categorical fill support: geom_taichi() inspects the plot data at + time and auto-selects scale_fill_manual() for discrete (factor / character / logical) yin / yang values — including computed expressions such as factor(week) — and scale_fill_gradientn() for continuous ones. With the default color vectors, discrete categories sample the ramp evenly while skipping its palest end, so no category is invisible on a white panel. Custom scales (objects or constructors) can be supplied via yin_scale / yang_scale (#4a, BUG-4).
• Shared scales for directly comparable sources (#4b):
  • shared_limits = TRUE gives both auto-built fill scales common limits — the union range of the two sources (or the union of levels when both are discrete) — so equal values read as equal ink. Explicit limits passed through ... still win, and mixing a discrete with a continuous source warns and ignores the flag.
  • shared_legend = TRUE treats the sources as one measure: it implies shared limits, paints both fish with yin_colors, drops the duplicate yang guide, and titles the single legend “yin / yang” unless yin_name is supplied.
• The fish geoms are exported (#4d): geom_yin_fish() and geom_yang_fish() are now documented exports (with the GeomYinFish / GeomYangFish ggproto objects available for extension packages), for users who want a single fish or full manual control over scale stacking.
• remove_padding() auto mode: called with no arguments it now detects each axis’s scale type from the plot it is added to; the explicit "c" / "d" arguments remain as overrides.
• New dataset cafes_tg: a small, clearly synthetic (seeded) espresso vs. matcha dataset whose two columns share units — an evergreen demo for the shared-scale features and a break from the COVID-era examples. The generating script ships in data-raw/.
• yin and yang also accept strings naming a column (yin = "Twitter"), which previously produced a meaningless constant fill.
• geom_taichi() now returns an object with a friendly print() method instead of dumping raw list internals at the console.
• Animation vignette: vignette("animations") documents how geom_taichi() composes with gganimate (transition_states(), spin animations via angle, export recipes) — verified frame-by-frame against gganimate 1.0.11. gganimate is a Suggests-only dependency.

Performance

• Vectorized rendering: each layer now draws all of its cells as one id-batched polygon (plus one batched circle grob for the eyes), resolved against the physical panel size at draw time via makeContent(). Glyphs stay perfectly round under resize, and large grids render an order of magnitude faster than the per-cell grob building used in 0.1.0: a 1200-cell grid with eyes takes 0.24 s to build and draw versus ~3.5 s with the per-cell approach (~15x, same machine), with pixel-identical output.

Bug fixes

• Mapped eye_size = 0 drew an eye (#1): a mapped eye-size of 0 was rescaled to a positive radius, so an eye was drawn despite the documented “0 → no eye” rule. Zeros are now preserved and drawn without an eye.
• A zero disabled the eye-size pass-through for the whole column: because 0 is excluded from the documented (0, 0.5] pass-through range, a single “no eye here” zero made every other value in an otherwise-proportional column go through the [0.05, 0.3] rescale instead — c(0, 0.2, 0.4) drew eyes of 0, 0.175, 0.3. Zeros are markers rather than measurements, so they no longer take part in that decision; the column now draws 0, 0.2, 0.4, and the two documented rules compose as intended.
• shared_legend palette mismatch (#2): with shared_legend = TRUE and discrete fills, the yang fish was painted with a differently-interpolated palette than the yin fish when only one of yin_colors / yang_colors was supplied. Both fish now use yin_colors, so identical categories read as identical ink.
• states_tg documentation (#3): the dataset spans 31 weeks (the bundled data has 31); the documentation said 30. Corrected to 31 (the data is unchanged).
• ... routing (BUG-1): geom parameters (alpha, colour, linewidth, linetype, width, height, na.rm, show.legend) are now real, documented arguments of geom_taichi() and are forwarded to the underlying fish layers. ... is reserved for options applied to both fill scales (e.g. shared limits); per-fish scale control goes through yin_scale / yang_scale.
• linewidth aesthetic (BUG-2): the outline width now uses the modern linewidth aesthetic. Passing size to geom_taichi() still works but warns and is routed to linewidth, and an inherited aes(size = ...) mapping is renamed through ggplot2’s built-in deprecation path. ggtaichi now requires ggplot2 >= 3.4.0.
• Missing-argument validation (BUG-3): omitting yin or yang errors immediately with a clear message instead of silently producing a degenerate grey plot, and a yin / yang column that does not exist in the plot data errors at + time with the offending name.
• Categorical fills (BUG-4): factor / character columns no longer trigger the cryptic “Discrete value supplied to a continuous scale” error (see the categorical fill support above).
• Non-finite angle and eye_size values: the guards tested is.na(), which is TRUE for NA and NaN but not for Inf / -Inf. An infinite angle therefore reached cos() / sin(), turned every vertex of that glyph into NaN and drew nothing while warning “NaNs produced”; an infinite mapped eye size asked grid for a circle of infinite radius. Both now test is.finite(), so a non-finite angle falls back to no rotation and a non-finite eye size means no eye, exactly as NA already did.
• Non-numeric angle columns: mapping angle to a character column failed at draw time with the base error “non-numeric argument to binary operator”, and mapping it to a factor silently drew unrotated glyphs alongside '*' not meaningful for factors warnings. Both now error at build time with a clear message, matching how a non-numeric eye_size column is already handled.
• Explicit discrete limits: passing limits through ... for a factor / character fish aborted with “Insufficient values in manual scale” whenever the limits held more entries than the data had levels. The auto-built palette is now sized against the limits.
• A custom scale for the wrong aesthetic drew the wrong plot silently: passing e.g. yin_scale = scale_colour_viridis_c attached the scale to colour, which the fish never map, so the fish fell back to ggplot2’s default blue fill gradient with no error at all. yin_scale / yang_scale are now checked to govern a fill aesthetic, and a value that is neither a scale object nor a constructor function reports that instead of the base error “‘what’ must be a function or character string”.
• Non-numeric cell width / height failed inside setup_data() with “non-numeric argument to binary operator”; now reported directly.
• ... colliding with the scale options geom_taichi() sets itself: guide together with shared_legend = TRUE aborted with the base error “formal argument guide matched by multiple actual arguments”. The internally computed options now take precedence, so the yang guide is still dropped while a user-supplied guide styles the shared legend. Passing name, values, colors, or colours through ... now reports which per-fish argument to use instead of raising the same base error.
• theme_taichi() no longer clips text at the plot edges: the title is now aligned with the whole plot area (plot.title.position = "plot") and slightly smaller (15 instead of 18), so realistic titles fit at typical figure sizes, and the right plot margin is a touch wider so an axis label sitting on the panel boundary (common with remove_padding()) is not cut off.
• theme_taichi() element inheritance: because the theme is composed with %+replace%, three properties theme_bw() had set were silently dropped and fell back to the generic text / rect parents. The rice-paper canvas picked up a near-black 1px border around the whole plot, the y-axis tick labels lost their right alignment and their gap from the panel, and the legend title lost its left alignment. All three are restored.

Documentation

• New pkgdown-only gallery article showing palettes, data-driven eyes, rotation, categorical fills, shared scales, and dense-grid texture.
• New “When (not) to use taichi” section in the intro vignette: honest guidance on dense grids, luminance precision, colorblind-safe palettes (viridis via yin_scale / yang_scale), and NA visibility.
• New Styling section in ?geom_taichi: alpha, colour, linewidth and linetype are layer-wide constants there (each has a concrete default, so it is always forwarded as a layer parameter and outranks an inherited mapping) — map those through geom_yin_fish() / geom_yang_fish() instead. width and height default to NULL and are forwarded only when supplied, so a plot-level aes(width = ...) does size the cells per row.
• ?theme_taichi now spells out its two surprising choices — the blanked y axis title (so labs(y = ) has no effect) and the 90-degree legend text — together with the theme() calls that put either back.
• ?remove_padding now states that ... reaches both position scales, so with axes of different types only arguments common to continuous and discrete scales work there, and that auto-detection reads the plot’s mapping (name the type explicitly when x / y are mapped in a layer instead).
• ?pitts_emojis now documents the actual format (HTML <img> tags aligned row-for-row with pitts_tg) and notes that the remote images it points at are no longer served.

Internal

• Added a testthat suite (argument validation, taichi_fish() geometry down to a Monte-Carlo tiling check, parameter routing, rotation, eyes, discrete-scale selection, grob-level rendering checks) plus vdiffr visual-regression snapshots.
• Two gaps in that suite are closed. It now covers non-square cells — the per-cell box following width on x and height on y, and the glyph radius coming from the shorter cell side — which every coord_fixed() snapshot is blind to. It also pins the direction of all three places rotation is applied (taichi_fish(), the vectorised body rotation in makeContent(), and the eye placement), so a sign error in any one of them fails a test.
• tests/testthat/setup.R holds a null device open for the run, so the suite no longer leaves a stray Rplots.pdf in tests/testthat/.
• geom_taichi() now returns a ggtaichi_plot object added to the plot via a ggplot_add() method, which is what makes data-aware scale selection and shared limits possible.

ggtaichi 0.1.0

• Initial version.
• geom_taichi() turns each cell of a grid into a taichi (yin-yang) diagram, filling the two fish with values from two data sources.
• Added theme_taichi() and remove_padding() helpers.
• Bundled the pitts_tg, states_tg, and pitts_emojis data sets.

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