Compare ⋅ wilkelab/ggridges

#' @format NULL
#' @usage NULL
#' @importFrom ggplot2 ggproto Geom draw_key_polygon
#' @importFrom plyr summarise
#' @export
GeomVRidgeline <- ggproto("GeomVRidgeline", Geom,
  default_aes = aes(color = "black", fill = "grey80", x = 0, size = 0.5, linetype = 1,

@@ -173,12 +172,19 @@

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    ids[missing_pos] <- NA

    # munching for polygon
    positions <- plyr::summarise(data,
                                 y = c(y, rev(y)), x = c(xmax, rev(xmin)), id = c(ids, rev(ids)))
    positions <- with(data, data.frame(
      y = c(y, rev(y)),
      x = c(xmax, rev(xmin)),
      id = c(ids, rev(ids))
    ))
    munched_poly <- ggplot2::coord_munch(coord, positions, panel_params)

    # munching for line
    positions <- plyr::summarise(data, y = y, x = xmax, id = ids)
    positions <- with(data, data.frame(
      y = y,
      x = xmax,
      id = ids
    ))
    munched_line <- ggplot2::coord_munch(coord, positions, panel_params)

    # placing the actual grob generation into a separate function allows us to override for geom_density_ridges2

@@ -239,7 +239,11 @@

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    data <- data[!missing_pos,]

    # munching for line
    positions <- plyr::summarise(data, x = x, y = ymax, id = ids)
    positions <- with(data, data.frame(
      x = x,
      y = ymax,
      id = ids
    ))
    munched_line <- ggplot2::coord_munch(coord, positions, panel_params)

    # We now break down the polygons further by fill color, since

@@ -267,8 +271,11 @@

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    }

    # munching for polygon
    positions <- plyr::summarise(data,
                                 x = c(x, rev(x)), y = c(ymax, rev(ymin)), id = c(ids, rev(ids)))
    positions <- with(data, data.frame(
      x = c(x, rev(x)),
      y = c(ymax, rev(ymin)),
      id = c(ids, rev(ids))
    ))
    munched_poly <- ggplot2::coord_munch(coord, positions, panel_params)

    # calculate line and area grobs

@@ -97,7 +97,6 @@

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#' @format NULL
#' @usage NULL
#' @importFrom ggplot2 ggproto Geom
#' @importFrom plyr summarise
#' @export
GeomRidgeline <- ggproto("GeomRidgeline", Geom,
  default_aes = aes(

@@ -258,12 +257,19 @@

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    ids[missing_pos] <- NA

    # munching for polygon
    positions <- plyr::summarise(data,
                                 x = c(x, rev(x)), y = c(ymax, rev(ymin)), id = c(ids, rev(ids)))
    positions <- with(data, data.frame(
      x = c(x, rev(x)),
      y = c(ymax, rev(ymin)),
      id = c(ids, rev(ids))
    ))
    munched_poly <- ggplot2::coord_munch(coord, positions, panel_params)

    # munching for line
    positions <- plyr::summarise(data, x = x, y = ymax, id = ids)
    positions <- with(data, data.frame(
      x = x,
      y = ymax,
      id = ids
    ))
    munched_line <- ggplot2::coord_munch(coord, positions, panel_params)

    # calculate line and area grobs

Everything is accounted for!

No changes detected that need to be reviewed.

What changes does Codecov check for?

Lines, not adjusted in diff, that have changed coverage data.

Files that introduced coverage data that had none before.

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76.53% ø ø

Merge pull request #71 from bwiernik/master

clauswilke

01db7fc

CI Passed

Hiding 2 contexual commits

76.53% ø ø

new site build

clauswilke

1ab693d

CI Passed

Files		•	•	•	Coverage
R	ø	ø	ø	ø	76.53%
Project Totals (12 files)	277	212	0	65	76.53%

173	172		ids[missing_pos] <- NA
174	173
175	174		# munching for polygon
176		-	positions <- plyr::summarise(data,
177		-	y = c(y, rev(y)), x = c(xmax, rev(xmin)), id = c(ids, rev(ids)))
	175	+	positions <- with(data, data.frame(
	176	+	y = c(y, rev(y)),
	177	+	x = c(xmax, rev(xmin)),
	178	+	id = c(ids, rev(ids))
	179	+	))
178	180		munched_poly <- ggplot2::coord_munch(coord, positions, panel_params)
179	181
180	182		# munching for line
181		-	positions <- plyr::summarise(data, y = y, x = xmax, id = ids)
	183	+	positions <- with(data, data.frame(
	184	+	y = y,
	185	+	x = xmax,
	186	+	id = ids
	187	+	))
182	188		munched_line <- ggplot2::coord_munch(coord, positions, panel_params)
183	189
184	190		# placing the actual grob generation into a separate function allows us to override for geom_density_ridges2

239	239		data <- data[!missing_pos,]
240	240
241	241		# munching for line
242		-	positions <- plyr::summarise(data, x = x, y = ymax, id = ids)
	242	+	positions <- with(data, data.frame(
	243	+	x = x,
	244	+	y = ymax,
	245	+	id = ids
	246	+	))
243	247		munched_line <- ggplot2::coord_munch(coord, positions, panel_params)
244	248
245	249		# We now break down the polygons further by fill color, since

267	271		}
268	272
269	273		# munching for polygon
270		-	positions <- plyr::summarise(data,
271		-	x = c(x, rev(x)), y = c(ymax, rev(ymin)), id = c(ids, rev(ids)))
	274	+	positions <- with(data, data.frame(
	275	+	x = c(x, rev(x)),
	276	+	y = c(ymax, rev(ymin)),
	277	+	id = c(ids, rev(ids))
	278	+	))
272	279		munched_poly <- ggplot2::coord_munch(coord, positions, panel_params)
273	280
274	281		# calculate line and area grobs

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Compare `1ab693d ... +2 ... 01db7fc`

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4 Commits

93	93		#' @format NULL
94	94		#' @usage NULL
95	95		#' @importFrom ggplot2 ggproto Geom draw_key_polygon
96		-	#' @importFrom plyr summarise
97	96		#' @export
98	97		GeomVRidgeline <- ggproto("GeomVRidgeline", Geom,
99	98		default_aes = aes(color = "black", fill = "grey80", x = 0, size = 0.5, linetype = 1,

97	97		#' @format NULL
98	98		#' @usage NULL
99	99		#' @importFrom ggplot2 ggproto Geom
100		-	#' @importFrom plyr summarise
101	100		#' @export
102	101		GeomRidgeline <- ggproto("GeomRidgeline", Geom,
103	102		default_aes = aes(

Compare 1ab693d ... +2 ... 01db7fc

No flags found

Everything is accounted for!

What changes does Codecov check for?

Show failed CI and contexual commits c 4 Commits

Compare `1ab693d ... +2 ... 01db7fc`

Show failed CI and contexual commits `c`

4 Commits