seecol
provides an interface to plotting (or "seeing")
the colors of a palette or comparing multiple color palettes.
seecol(
pal = "unikn_all",
n = "all",
alpha = NA,
hex = NULL,
rgb = NULL,
col_bg = NULL,
col_brd = NULL,
lwd_brd = NULL,
grid = TRUE,
scale_x = FALSE,
main = NA,
sub = NULL,
title = NULL,
mar_note = NA,
pal_names = NA,
...
)
A single color palette (as a vector of colors),
multiple color palettes (as a list),
or a recognized keyword (as a character string).
Default: pal = "unikn_all"
(i.e., plot all color palettes
provided by the unikn package).
Recognized keywords are:
"all"
: All color palettes of the unikn package.
"all_unikn"
or "unikn_all"
: All uni.kn color palettes
(of the University of Konstanz).
"unikn_basic"
: All basic uni.kn palettes.
"grad_all"
: All uni.kn palettes with color gradients.
"pair_all"
: All uni.kn palettes with pairwise colors.
"pref_all"
: All preferred uni.kn colors and their gradients.
"add"
: Additional/contributed color palettes
(deprecated, as additional color palettes were migrated to the unicol R package).
seecol
does also recognize keywords (e.g., "all_unikn"
) or
keywords without "unikn"
(e.g., "basic"
).
Number of colors to show or use.
If n
is lower or higher than the length of the current
color palette pal
, the color palette is reduced or extrapolated
(using grDevices::colorRampPalette
).
Default: n = "all"
(i.e., show all colors in palette).
A factor modifying the opacity alpha
(as alpha.f
in adjustcolor
) to a value in [0, 1]
.
Default: alpha = NA
(i.e., no modification of opacity).
Should HEX color values be shown?
Default: hex = NULL
(i.e., show HEX color values
when there is sufficient space to print them).
Should RGB color values be shown?
Default: rgb = NULL
(i.e., show RGB color values
when there is sufficient space to print them).
Color of plot background.
Default: col_bg = NULL
.
Color of shape borders (if shown).
Default: col_brd = NULL
.
Line width of shape borders (if shown).
Default: lwd_brd = NULL
.
Show grid in the color plot?
Default: grid = TRUE
.
Scale color shapes (when comparing multiple palettes) to a fixed total width?
Default: scale_x = FALSE
.
Main plot title (as a character string).
Default: main = NA
creates a default title.
Optional subtitle (as a character string).
Default: sub = NULL
(i.e., no subtitle).
Deprecated plot title.
Use main
instead.
Optional margin note (on bottom right).
Default: mar_note = NA
(i.e., no margin note).
Names of color palettes or colors
(as a character vector).
Default: pal_names = NA
(for default names).
Other graphical parameters
(passed to plot
).
seecol
has two main modes, based on the contents of its pal
argument:
if pal
is set to a specific color palette (or a vector of multiple colors or color palettes):
Plot the current color palette and optional details on its colors.
if pal = "unikn_all"
or a list of multiple color palettes:
Plot visual vectors of all current color palettes for comparing them.
Specifying distinct = TRUE
removes visual duplicate colors (based on HEX values,
ignoring transparency), but only when showing an individual color palette pal
.
Various title options (i.e., main
, sub
, and mar_note
) and
a pal_names
argument add control over plotted text labels.
However, the length of a character vector provided to pal_names
must correspond
to the number of (custom) color palettes or colors.
usecol
for using color palettes;
simcol
for finding similar colors;
newpal
for defining new color palettes;
grepal
for finding named colors;
shades_of
to defining shades of a given color;
ac
for adjusting color transparency;
pal_unikn
for the default uni.kn color palette.
Other color functions:
ac()
,
demopal()
,
grepal()
,
newpal()
,
shades_of()
,
simcol()
,
usecol()
# See multiple color palettes:
seecol() # default: seecol(pal = "all")
# See details of one color palette:
seecol(pal_unikn) # see a specific color palette
# Combining colors or color palettes:
seecol(c(rev(pal_seeblau), pal_seegruen)) # combine color palettes
seecol(c(rev(pal_seeblau), "white", pal_pinky)) # combine color palettes and color names
seecol(c("black", "firebrick", "gold")) # combine color names
# Scale a set of color palettes to a fixed width:
seecol(scale_x = TRUE)
# Using n to reduce or extend color palettes:
seecol(n = 3) # viewing reduced ranges of all palettes
seecol(n = 12) # viewing extended ranges of all palettes
seecol(pal_unikn, n = 5,
main = "Reduced version of pal_unikn (n = 5)") # reducing pal_unikn
seecol(pal_seeblau, n = 8,
main = "Extended version of pal_seeblau (n = 8)") # extending pal_seeblau
# Combining and extending color palettes:
seecol(c(rev(pal_seeblau), "white", pal_bordeaux), n = 17,
main = "Diverging custom color palette (with 17 colors)")
# Defining custom color palettes:
pal_mpg <- c("#007367", "white", "#D0D3D4") # mixing hex values and color names
names(pal_mpg) <- c("mpg green", "mpg white", "mpg grey") # color names
pal_bdg <- usecol(c(Bordeaux, "gold"), n = 5) # using usecol
# Viewing extended color palette:
seecol(pal_mpg, n = 9, main = "Custom color palette of the Max Planck Society")
# Comparing (and labeling) custom color palettes:
seecol(list(pal_mpg, pal_bdg, pal_unikn), scale_x = TRUE,
pal_names = c("Max Planck", "Bordeaux-Gold", "Uni Konstanz"),
main = "Comparing and labeling custom color palettes")
## Viewing color palettes from other packages:
# library(RColorBrewer)
# seecol(brewer.pal(name = "RdBu", n = 11)) # viewing "RdBu" palette from RColorBrewer
## Extending color palettes:
# seecol(brewer.pal(name = "RdBu", n = 11), n = 15) # extending palette to 15 colors