sort_colors | R Documentation |
Sort a vector of colors using one or more color attributes
sort_colors(
x,
...,
alpha = TRUE,
byCols = c("H", "C", "L"),
return_type = c("colors", "df")
)
x |
|
... |
any valid criteria to subset the color |
alpha |
|
byCols |
|
return_type |
|
This function is an extension of subset_colors()
except that
it applies a sort order to the results.
The input colors in x
are converted internally to a data.frame
with colnames added by relevant helper functions.
"num"
contains the integer index of the input vector x
.
"hex"
contains character
values with hexadecimal colors
including alpha. If the input x
is "red"
then the hex value
will be converted to "#FF0000FF"
.
character
vector of colors that meet the filter criteria.
When return_type="df"
the returned object is a data.frame
with
the subset columns included for review.
jamba::col2hcl()
"H"
contains color hue as values from 0
to 360
.
"C"
contains color chroma (aka saturation) ranging from 0
up to 200
,
where typical "full saturation" is represented as values above 100.
"L"
contains color luminance (brightness/lightness) ranging from
0
to 100
.
"alpha"
the alpha transparency, ranging from 0
(fully transparent)
to 1
(fully opaque, not transparent).
grDevices::col2rgb()
"red"
contains the red color channel, values range from 0
to 255
.
"green"
contains the green color channel, values range from 0
to 255
.
"blue"
contains the blue color channel, values range from 0
to 255
.
jamba::col2hsv()
"h"
contains color hue as values from 0
to 1
. Note these values
may not map directly to color hue obtained from jamba::col2hcl()
.
"s"
contains color saturation with values from 0
to 1
.
"v"
contains color vibrance (brightness/lightness) with values
from 0
to 1
.
Other colorjam sort:
colors_to_df()
,
subset_colors()
Other colorjam core:
blend_colors()
,
closestRcolor()
,
closest_named_color()
,
color_complement()
,
colors_to_df()
,
group2colors()
,
rainbowJam()
,
subset_colors()
# subset for blue colors
jamba::showColors(subset_colors(colors(), H > 200 & H < 265 & C > 80))
# subset for saturated colors
jamba::showColors(subset_colors(colors(), C > 120))
# subset for saturated colors then sort by hue
jamba::showColors(subset_colors(colors(), C > 120, byCols=c("H", "-C", "-L")))
# review the data.frame itself
subset_colors(colors(), C > 135, return_type="df")
# for curiosity, compare H to h
colors_df <- subset_colors(colors(),
C > 20,
byCols=c("C"),
return_type="df");
plot(colors_df$h, colors_df$H,
xlab="hsv hue h",
ylab="HCL hue H",
pch=20,
cex=colors_df$s * 1 + 1,
col=colors_df$hex);
title("Comparison of HCL hue H\nwith hsv hue h")
plot(colors_df$s, colors_df$C,
xlab="hsv saturation s",
ylab="HCL chroma C",
pch=20,
cex=colors_df$s * 1 + 1,
col=colors_df$hex);
title("Comparison of HCL C\nwith hsv s")
plot(colors_df$v, colors_df$L,
xlab="hsv vibrance v",
ylab="HCL luminance L",
pch=20,
cex=colors_df$s * 1 + 1,
col=colors_df$hex);
title("Comparison of HCL L\nwith hsv v")
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