Control single- vs multi-group palettes via col.default

NEWS.md

@@ -46,7 +46,7 @@ margin spacing and related plot elements to reduce whitespace and improve the
 overall plot aesthetic. The `?tinytheme` help file and online
 [Themes](https://grantmcdermott.com/tinyplot/vignettes/themes.html) vignette
 cover the new features in detail. But see below for the highlights.
-(#549, #591, #595, #606 @grantmcdermott, @vincentarelbundock)
+(#549, #591, #595, #606, #614 @grantmcdermott, @vincentarelbundock, @zeileis)
 
 New theme features:
 
@@ -80,6 +80,39 @@ New theme features:
   `tinytheme(<theme>)` or `tinyplot(..., theme = <theme>)`. Companion functions
   `tinytheme_list()` and `tinytheme_unregister()` further support this
   functionality. (#608 @grantmcdermott)
+- We adopt a new logic for selecting the default colour for single-group
+  (i.e. plots without a `by` grouping) versus multi-group displays. The upshot
+  is that, for many themes, single-group displays will simply default to
+  "black", whereas multi-group displays will drop "black" and only present
+  colour palettes. This behaviour is operationalized through the new
+  `col.default` parameter, settable via `tpar()` or within a theme.
+  (#614 @grantmcdermott @zeileis)
+  - Themes whose palette already leads with a non-black colour (e.g.
+    `"clean(2)"`, `"dark"`, `"nber"`, `"web"`) consistently use that colour for
+    single-group displays too.
+  - The ggplot2-inspired themes (`"bw"`, `"classic"`, `"linedraw"`, and
+    `"minimal"`) continue to use black for single-group display. But they now
+    drop the leading black from their _grouped_ palettes. (Note that these
+    themes also use the default `"ggplot2"` palette now, so grouped plots start
+    at the familiar salmon hue.)
+  - Similarly, the `"ipsum2"` and `"broadsheet"` themes use the
+    Okabe-Ito palette less its leading black, so grouped plots start at orange.
+    The `"float"` and `"void"` themes also default to black for single-group
+    displays.
+- Relatedly, the _fill_ of single-group `"boxplot"`, `"violin"`, `"barplot"`,
+  and `"histogram"` displays is now unified across these four types, so that a
+  single-group plot looks the same regardless of which one you reach for.
+  (#614 @grantmcdermott @zeileis)
+  - When the resolved default colour is _chromatic_ (e.g. the blue of `"clean"`
+    or the teal of `"dark"`), the fill is a lighter-but-opaque tint of it;
+    following the same sequential HCL ramp that `"ridge"` type plots have been
+    using for a while.
+  - When the default is _achromatic_ (black, as in the plain default and the
+    `"bw"`/`"classic"`/`"ipsum"` themes), all four types share a neutral
+    `"lightgray"` fill, matching base R's `hist()` and `boxplot()` defaults.
+    Note that this does imply a change for `"barplot"` types, which previously
+    used a slightly darker `"grey"` (to match base R's `barplot()`), but we
+    decided internal consistency was the more important feature to prioritize.
 
 Theme fixes:
 

R/by_aesthetics.R

@@ -122,6 +122,44 @@ match_palette_name = function(name, candidates) {
   charmatch(normalize(name), normalize(candidates))
 }
 
+## Resolve a palette spec to its full concrete colour vector (or NULL if it
+## can't be resolved to a discrete set, e.g. a continuous hcl palette). Used to
+## support relative `col.default` indices.
+resolve_palette_to_colors = function(palette) {
+  if (is.null(palette)) return(NULL)
+  if (is.character(palette) && length(palette) > 1) return(unname(palette))
+  if (is.character(palette) && length(palette) == 1) {
+    discrete_pals = palette.pals()
+    idx = match_palette_name(palette, discrete_pals)
+    if (!is.na(idx) && idx >= 1L) {
+      return(unname(palette.colors(palette = discrete_pals[idx])))
+    }
+  }
+  NULL
+}
+
+## Resolve a (possibly relative) `col.default` against the qualitative palette.
+## `col_default` may be NULL, a character colour, or a numeric index into the
+## palette. A negative index additionally *drops* that colour from the palette
+## returned for grouped displays. So `col.default = -1` with an "Okabe-Ito"
+## palette uses black (the leading colour) for single-group plots and an
+## Okabe-Ito-minus-black palette for grouped plots, avoiding the need to keep a
+## separate "no-black" palette copy around (#598, #614). Returns a list with the
+## resolved single-group `col_default` and the (possibly trimmed) `palette`.
+resolve_col_default = function(col_default, palette_spec) {
+  if (!is.numeric(col_default)) {
+    return(list(col_default = col_default, palette = palette_spec))
+  }
+  full = resolve_palette_to_colors(palette_spec)
+  if (is.null(full)) {
+    return(list(col_default = NULL, palette = palette_spec))
+  }
+  i = as.integer(col_default)
+  out_col = full[abs(i)]
+  if (i < 0L) palette_spec = full[-abs(i)]
+  list(col_default = out_col, palette = palette_spec)
+}
+
 ## Handle direct color input via `col` arg. Returns colors or NULL if not applicable.
 resolve_manual_colors = function(col, ngrps, gradient, ordered, alpha, adjustcolor) {
   if (is.null(col) || !is.atomic(col) || !is.vector(col)) {
@@ -296,16 +334,32 @@ by_col = function(col, palette, alpha, by_ordered, by_continuous, ngrps, adjustc
 
   if (is_by_keyword(col)) col = NULL
 
+  pal_theme = if (ordered || gradient) {
+    get_tpar("palette.sequential", default = NULL)
+  } else {
+    get_tpar("palette.qualitative", default = NULL)
+  }
+
+  # Resolve a (possibly relative) col.default against the qualitative palette.
+  # A relative (negative) index also drops the chosen colour from the grouped
+  # palette, so e.g. `col.default = -1` uses the palette's leading colour for
+  # single-group displays and the palette-minus-that-colour for grouped ones
+  # (see resolve_col_default). col.default only applies to qualitative displays.
+  if (!ordered && !gradient) {
+    cd = resolve_col_default(get_tpar("col.default", default = NULL), pal_theme)
+    pal_theme = cd[["palette"]]
+    # Single-group default colour (theme-settable via tpar). When NULL, defer to
+    # the usual palette resolution below (first qualitative colour, or palette()[1]).
+    if (is.null(col) && ngrps == 1L) {
+      col = cd[["col_default"]]
+    }
+  }
+
   cols = resolve_manual_colors(col, ngrps, gradient, ordered, alpha, adjustcolor)
   if (!is.null(cols)) {
     return(cols)
   }
 
-  pal_theme = if (ordered || gradient) {
-    get_tpar("palette.sequential", default = NULL)  
-  } else {
-    get_tpar("palette.qualitative", default = NULL)
-  }
   cols = resolve_palette_colors(
     palette = palette,
     theme_palette = pal_theme,
@@ -330,10 +384,15 @@ by_bg = function(bg, fill, col, palette, alpha, by_ordered, by_continuous, ngrps
     ordered = if (is.null(by_ordered)) FALSE else by_ordered
     gradient = if (is.null(by_continuous)) FALSE else by_continuous
     pal_theme = if (ordered || gradient) {
-      get_tpar("palette.sequential", default = NULL)  
+      get_tpar("palette.sequential", default = NULL)
     } else {
       get_tpar("palette.qualitative", default = NULL)
     }
+    # Mirror by_col(): a relative col.default trims the grouped palette, so
+    # grouped fills stay in step with grouped line colours.
+    if (!ordered && !gradient) {
+      pal_theme = resolve_col_default(get_tpar("col.default", default = NULL), pal_theme)[["palette"]]
+    }
     bg = resolve_palette_colors(
       palette = palette,
       theme_palette = pal_theme,
@@ -352,6 +411,26 @@ by_bg = function(bg, fill, col, palette, alpha, by_ordered, by_continuous, ngrps
     } else if (!is.null(col)) {
       bg = adjustcolor(col, ribbon.alpha)
     }
+  } else if (ngrps == 1L && is.null(bg) && type %in% c("boxplot", "violin", "barplot", "histogram")) {
+    # Single-group fill tracks the theme's *default* colour (col.default ->
+    # palette[1] -> black) so that themed box/violin/bar/histogram plots match
+    # their own multi-group counterparts. We resolve this default independently
+    # of `col` so that a user-supplied outline colour (e.g. `col = "white"`)
+    # doesn't bleed into the fill.
+    fill_base = by_col(
+      col = NULL, palette = palette, alpha = 1, by_ordered = by_ordered,
+      by_continuous = by_continuous, ngrps = 1L, adjustcolor = adjustcolor
+    )
+    # For a *chromatic* default the fill is a lighter-but-opaque tint of that
+    # colour (via seq_palette, the same HCL ramp used for ridge fills and legend
+    # swatches), so it reads cleanly over grid lines unlike alpha blending. For
+    # an *achromatic* default (typically black, e.g. the "bw"/"classic"/"ipsum"
+    # themes and the plain default) seq_palette's light endpoint can't reach the
+    # neutral "lightgray" used by the no-theme path and base R's hist()/boxplot()
+    # -- so we use that literal directly, keeping all black-default single-group
+    # fills consistent regardless of whether a theme palette happens to be set.
+    achromatic = is_achromatic(fill_base)
+    bg = if (achromatic) "lightgray" else seq_palette(fill_base, n = 3)[3]
   }
 
   bg

R/tinytheme.R

@@ -418,11 +418,12 @@ theme_classic = modifyList(theme_dynamic, list(
   bty = "l",
   cex.axis = 0.8,
   cex.cap = 0.8,
+  col.default = -1L,  # black single-group; drop it from the grouped palette
   facet.bg = NULL,
   font.main = 1,
   gap.axis = 0.1,
   gap.lab = 0.4,
-  palette.qualitative = "Okabe-Ito"
+  palette.qualitative = "ggplot2"
 ))
 
 # derivatives of "clean"
@@ -439,6 +440,7 @@ theme_clean2 = modifyList(theme_clean, list(
 theme_bw = modifyList(theme_clean, list(
   tinytheme = "bw",
   cex.axis = 0.8,
+  col.default = -1L,  # black single-group; drop it from the grouped palette
   font.main = 1,
   gap.axis = 0.1,
   gap.lab = 0.4,
@@ -447,7 +449,7 @@ theme_bw = modifyList(theme_clean, list(
   grid.lwd = 0.5,
   lwd = 0.5,
   lwd.axis = 0.5,
-  palette.qualitative = "Okabe-Ito"
+  palette.qualitative = "ggplot2"
 ))
 
 theme_linedraw = modifyList(theme_bw, list(
@@ -477,6 +479,7 @@ theme_ipsum = modifyList(theme_minimal, list(
   adj.xlab = 1,
   adj.ylab = 1,
   cex.lab = 0.8,
+  col.default = "black",  # bespoke palette doesn't lead with black; pin it
   font.main = 2,
   font.sub = 1,
   font.cap = 3,
@@ -493,12 +496,15 @@ theme_ipsum2 = modifyList(theme_minimal, list(
   bty = "n",
   font.sub = 3,
   adj.ylab = 1,
-  adj.xlab = 1
+  adj.xlab = 1,
+  col.default = -1L,  # black single-group; drop it from the grouped palette
+  palette.qualitative = "Okabe-Ito"  # keep Okabe-Ito, not the ggplot2 palette
 ))
 
 theme_dark = modifyList(theme_minimal, list(
   tinytheme = "dark",
   bg = "#1A1A1A",
+  col.default = NULL,  # no fixed default: single-group uses palette[1] (Set 2)
   fg = "#BBBBBB",
   # col = "white",
   col.xaxs = "#BBBBBB",
@@ -519,11 +525,13 @@ theme_dark = modifyList(theme_minimal, list(
 
 theme_ridge = modifyList(theme_clean, list(
   tinytheme = "ridge",
+  col.default = "black",  # keep black ridgelines; Zissou is for gradient fills
   palette.qualitative = "Zissou 1",
   grid = FALSE
 ))
 theme_ridge2 = modifyList(theme_clean2, list(
   tinytheme = "ridge2",
+  col.default = "black",  # keep black ridgelines; Zissou is for gradient fills
   palette.qualitative = "Zissou 1",
   grid = FALSE
 ))
@@ -539,6 +547,7 @@ theme_socviz = modifyList(theme_minimal, list(
   cex.lab = 1,
   cex.main = 1.4,
   cex.sub = 1.05,
+  col.default = "black",  # bespoke palette doesn't lead with black; pin it
   col.xaxs = "gray10",
   col.yaxs = "gray10",
   facet.bg = NULL,
@@ -565,6 +574,7 @@ theme_broadsheet = modifyList(theme_dynamic, list(
   bty = "n",
   cex.cap = 0.8,
   col.cap = "gray40",
+  col.default = -1L,  # black single-group; drop it from the grouped palette
   col.sub = "gray40",
   font.main = 2,
   gap.axis = 0.1,
@@ -584,6 +594,7 @@ theme_broadsheet = modifyList(theme_dynamic, list(
 theme_nber = modifyList(theme_broadsheet, list(
   tinytheme = "nber",
   bg = "#F2F7FB",
+  col.default = NULL,  # override broadsheet's black: nber palette leads with blue
   cex.cap = 1,
   cex.main = 1.4,
   cex.sub = 1,
@@ -641,6 +652,7 @@ theme_tufte = modifyList(theme_dynamic, list(
 
 theme_float = modifyList(theme_tufte, list(
   tinytheme = "float",
+  col.default = "black",
   gap.axis = 0,
   gap.lab = 0.7,
   lab = c(5, 5, 7),
@@ -650,6 +662,7 @@ theme_float = modifyList(theme_tufte, list(
 
 theme_void = modifyList(theme_dynamic, list(
   tinytheme = "void",
+  col.default = "black",
   facet.bg = NULL,
   facet.border = NA,
   font.main = 1,

R/tpar.R

@@ -55,6 +55,7 @@
 #' * `cairo`: Logical indicating whether \code{\link[grDevices]{cairo_pdf}} should be used when writing plots to PDF. If `FALSE`, then \code{\link[grDevices]{pdf}} will be used instead, with implications for embedding (non-standard) fonts. Only used if `tinyplot(..., file = "<filename>.pdf")` is called. Defaults to the value of `capabilities("cairo")`.
 #' * `cex.cap`: Numeric expansion factor for the plot caption text. Defaults to `1` for the default, basic, and dynamic themes, and `0.8` for clean/classic and their descendants.
 #' * `col.cap`: Character specifying the colour of the plot caption. Defaults to `"black"`.
+#' * `col.default`: Default colour for single-group displays (i.e. plots without a `by` grouping). Can be `NULL`, a length-1 character colour, or a length-1 numeric index into `palette.qualitative`. Defaults to `NULL`, in which case the first colour of the active qualitative palette is used (or base `palette()[1]`, typically black, if no theme is set). A character value sets the single-group colour independently of the multi-group palette. A numeric value `i` selects the `i`th colour of `palette.qualitative` as the single-group default; a *negative* index additionally drops that colour from the palette used for grouped plots. For example, `col.default = -1` paired with `palette.qualitative = "Okabe-Ito"` uses black (the leading palette colour) for single-group plots and an Okabe-Ito-minus-black palette for grouped plots, avoiding the need to maintain a separate "no-black" palette.
 #' * `font.cap`: Integer specifying the font face for the plot caption (`1` = plain, `2` = bold, `3` = italic, `4` = bold italic). Defaults to `1`.
 #' * `line.cap`: Numeric specifying the margin line on which to draw the caption. If `NULL` (default), computed automatically based on the available bottom margin.
 #' * `dynmar`: Logical indicating whether `tinyplot` should attempt dynamic adjustment of margins to reduce whitespace and/or account for spacing of text elements (e.g., long horizontal y-axis labels). Note that this parameter is tightly coupled to internal `tinythemes()` logic and should _not_ be adjusted manually unless you really know what you are doing or don't mind risking unintended consequences to your plot.
@@ -234,6 +235,7 @@ known_tpar = c(
     "cex.xlab",
     "cex.ylab",
     "col.cap",
+    "col.default",
     "col.xaxs",
     "col.yaxs",
     "cairo",
@@ -305,6 +307,14 @@ assert_tpar = function(.tpar) {
   assert_string(.tpar[["grid.bg"]], null.ok = TRUE, name = "grid.bg")
   assert_numeric(.tpar[["fmar"]], len = 4, null.ok = TRUE, name = "fmar")
 
+  col.default = .tpar[["col.default"]]
+  if (!is.null(col.default)) {
+    if (!is.character(col.default) && !is.numeric(col.default)) {
+      stop("col.default needs to be NULL, a (length-1) character colour, or a (length-1) numeric palette index", call. = FALSE)
+    }
+    assert_true(length(col.default) == 1, name = "length(col.default)==1")
+  }
+
   facet.col = .tpar[["facet.col"]]
   if (!is.null(facet.col)) {
     if (!is.null(facet.col) && !is.numeric(facet.col) && !is.character(facet.col)) {
@@ -367,6 +377,10 @@ init_tpar = function(rm_hook = FALSE) {
   .tpar$grid.lty = if (is.null(getOption("tinyplot_grid.lty"))) "dotted" else getOption("tinyplot_grid.lty")
   .tpar$grid.lwd = if (is.null(getOption("tinyplot_grid.lwd"))) 1 else as.numeric(getOption("tinyplot_grid.lwd"))
 
+  # Default colour for single-group displays (NULL defers to the first
+  # qualitative palette colour, or base palette()[1] if no theme is active)
+  .tpar$col.default = if (is.null(getOption("tinyplot_col.default"))) NULL else getOption("tinyplot_col.default")
+
   # Legend justification
   .tpar$ljust = if (is.null(getOption("tinyplot_ljust"))) "left" else getOption("tinyplot_ljust")
 

R/type_barplot.R

@@ -280,8 +280,11 @@ data_barplot = function(width = 5/6, beside = FALSE, center = FALSE, offset = NU
         ## default color palette
         ngrps = length(unique(datapoints$by))
         if (ngrps == 1L && null_palette) {
-          if (is.null(col)) col = par("fg")
-          if (is.null(bg)) bg = "grey"
+          # With a theme palette active, leave bg = NULL so the fill tracks
+          # the resolved border colour (see by_bg). Otherwise use the neutral
+          # "lightgray" shared by all single-group area fills (matches base R
+          # hist()/boxplot()).
+          if (is.null(bg) && is.null(get_tpar("palette.qualitative", default = NULL))) bg = "lightgray"
         } else {
           if (is.null(bg)) bg = "by"
         }

R/type_boxplot.R

@@ -113,8 +113,9 @@ data_boxplot = function(boxwex = 0.8) {
 
         # Check if user provided palette before substitute)
         if (length(unique(datapoints[["by"]])) == 1 && null_palette) {
-            if (is.null(col)) col = par("fg")
-            if (is.null(bg)) bg = "lightgray"
+            # With a theme palette active, leave bg = NULL so the fill tracks
+            # the resolved border colour (see by_bg). Otherwise use neutral grey.
+            if (is.null(bg) && is.null(get_tpar("palette.qualitative", default = NULL))) bg = "lightgray"
         } else {
             if (is.null(bg)) bg = "by"
         }

R/type_histogram.R

@@ -101,15 +101,20 @@ data_histogram = function(breaks = "Sturges",
     hright = right
 
     fun = function(settings, .breaks = hbreaks, .freebreaks = hfree.breaks, .freq = hfreq, .right = hright, .drop.zeros = hdrop.zeros, ...) {
-        env2env(settings, environment(), c("palette", "bg", "col", "plot", "datapoints", "ymin", "ymax", "xmin", "xmax", "freq", "ylab", "xlab", "facet", "ribbon.alpha"))
+        env2env(settings, environment(), c("palette", "bg", "col", "plot", "datapoints", "ymin", "ymax", "xmin", "xmax", "freq", "ylab", "xlab", "facet", "ribbon.alpha", "by", "null_by", "null_palette"))
 
         hbreaks = ifelse(!sapply(.breaks, is.null), .breaks, "Sturges")
 
-        if (is.null(by) && is.null(palette)) {
-            if (is.null(col)) col = par("fg")
-            if (is.null(bg)) bg = "lightgray"
-        } else {
-            if (is.null(bg)) bg = ribbon.alpha
+        # Multi-group displays fill from the palette at `ribbon.alpha`
+        # transparency via the `ribbon.alpha` keyword. For single-group displays
+        # with a theme palette active we leave `bg = NULL` so the fill tracks the
+        # resolved border colour (see by_bg), which honours `col.default`. With
+        # no theme palette, single-group uses the neutral "lightgray" shared by
+        # all single-group area fills (matches base R hist()).
+        if (is.null(bg) && !null_by) {
+          bg = ribbon.alpha
+        } else if (is.null(bg) && null_by && null_palette && is.null(get_tpar("palette.qualitative", default = NULL))) {
+          bg = "lightgray"
         }
 
         if (!.freebreaks) xbreaks = hist(datapoints$x, breaks = hbreaks, right = .right, plot = FALSE)$breaks