This vignette explains the colors, color palettes, and color-related functions provided by the unikn package. (See the vignettes on color recipes and institutional colors for more specialized tasks and the vignette on text for information on text boxes and decorations.)
Please install and/or load the unikn package to get started:
The unikn package provides some colors (e.g., Seeblau
) and color palettes (e.g., pal_unikn
). However, its functionality mainly comes from color-related functions that are useful beyond the dedicated colors of this package.
The package provides two main functions for interacting with color palettes: seecol()
and usecol()
.
seecol()
is a general-purpose tool for viewing (or seeing) color palettes. The seecol()
function takes two main arguments:
pal
provides either one or multiple color palettes (with a default of pal = "all"
);n
specifies the number of desired colors (with a default of n = "all"
).Based on the setting of pal
, the seecol()
function distinguishes between two modes:
* _comparing_ a set of multiple color palettes (by passing a keyword or `list`-object);
* viewing the _details_ of a single color palette (by providing only one palette).
usecol()
allows using a color palette (e.g., when creating visualizations) without showing its details. The usecol()
function also takes arguments for conveniently manipulating color palettes:
pal
provides either one or multiple color palettes (with a default of pal = pal_unikn
);n
specifies the number of desired colors (with a default of n = "all"
);alpha
adjusts the opacity of all colors in pal
(e.g., alpha = .50
for medium transparency).Two additional functions serve in auxiliary roles:
newpal()
allows defining new color palettes (typically as data frames with dedicated color names).
grepal()
searches a color palette x
(i.e., a vector of color names or data frame of named colors) for a pattern
and returns those that match the pattern (or regular expression).
seecol()
The behavior of the seecol()
function depends on the inputs to its pal
argument. It either allows comparing multiple color palettes or shows the details of a single color palette.
When the pal
argument specifies (a list of) multiple color palettes, seecol()
plots a vector for each palette to allow comparing these palettes. Some special keywords within the unikn package denote sets of color palettes: "unikn_all"
, "unikn_basic"
, pair_all"
, "pref_all"
and "grad_all"
. Calling seecol
with pal
set to these keywords allows comparing pre-defined sets of the color palettes:
Viewing all available color palettes:
Note, that pal_unikn_web
and pal_unikn_ppt
are almost identical, but differ in how vibrant their colors are.
When the pal
argument of the seecol()
function specifies a single color palette, the function plots a more detailed view of this particular color palette:
The detailed overview of a single color palette provides us with
A typical workflow comprises first seeing a color palette, then saving it, and using it in a plot.
After saving the color palette you can use the palette object in your plot:
Note that seecol()
invisibly returns the color palette.
Thus, the following will only plot the palette without doing anything else with the color vector:
seecol()
The seecol()
function provides some aesthetic parameters for adjusting how color palettes are plotted:
col_brd
allows specifying the color of box borders (if shown. Default: col_brd = NULL
);lwd_brd
allows specifying the line width of box borders (if shown. Default: lwd_brd = NULL
);title
allows replacing the default title with a custom title.Examples:
usecol()
(without seeing it)The usecol()
function allows directly using a color palette in a plot (i.e., without first viewing it). usecol()
corresponds to seecol()
by taking the same main arguments (pal
and n
). However, as its purpose is using the colors specified by pal
, rather than plotting (or seeing) them, its pal
argument typically contains only one color palette:
Note that the seecol()
and usecol()
functions are both quite permissive with respect to specifying their pal
argument: A particular color palette (e.g., pal_seegruen
) can not only be displayed by providing it (as an object) but also by providing its name (i.e., "pal_seegruen"
) or even an incomplete object name or name (i.e., "seegruen"
or seegruen
). Hence, the following expressions all yield the same result:
Both the seecol()
and the usecol()
functions allow flexible on-the-fly customizations of color palettes.
Specifying a value for the n
argument of seecol()
an usecol()
allows:
n
smaller than the length of the color palette;n
greater than the length of the color palette.Passing a vector of colors and/or color palettes allows users to create and view their own color palettes.
Finally, specifying a value for alpha
(in a range from 0 to 1) allows controlling the transparency of the color palette(s), with higher values for alpha
corresponding to higher transparency (i.e., lower opacity).
Using only a subset of colors:
Importantly, when using pre-defined color palettes of unikn but a value of n
that is smaller than the length of the current color palette, usecol
and seecol
select a predefined subset of colors:
For values of n
that are larger than the number of available colors in pal
, the specified color palette is extended using ColorRampPalette
:
When using a color palette:
By passing a vector to pal
, we can concatenate 2 color palettes and connect them with a color (here: "white"
) as the midpoint of a new color palette:
We can combine a set of colors and extend this palette by specifying an n
argument that is larger than the length of the specified palette:
# Note, that redundant use of seecol and usecol shows HEX values as names.
# seecol(pal = c(Karpfenblau, Seeblau, "gold"), n = 10) # would work, but show no intermediate names
These custom palettes can easily be used in a plot. For instance, we can define and use a subset of the pal_unikn_pair
palette as follows:
Both seecol()
and usecol()
accept an alpha
argument (in a range from 0 to 1) for controlling the transparency of color palettes, with higher values for alpha
corresponding to lower transparency (i.e., higher opacity).
Displaying a specific color palette at a medium opacity/transparency:
Setting opacity for a custom color palette:
four_cols <- usecol(c("steelblue", "gold", "firebrick", "forestgreen"), alpha = 2/3)
seecol(four_cols, title = "Four named colors with added transparency")
Setting opacity for comparing of multiple color palettes:
Suppose we want to compare a newly created color palette to existing color palettes. To achieve this, advanced users can use the seecol()
function for displaying and comparing different custom palettes. When provided with a list of color palettes as the input to its pal
argument, seecol()
will show a comparison of the inputs:
# Define 2 palettes:
pal1 <- c(rev(pal_seeblau), "white", pal_bordeaux)
pal2 <- usecol(c(Karpfenblau, Seeblau, "gold"), n = 10)
# Show the my_pair palette from above, the 2 palettes just defined, and 2 pre-defined palettes:
seecol(list(my_pair, pal1, pal2, pal_unikn, pal_unikn_pair))
Note that unknown color palettes are named pal_
\(n\), in increasing order. Palettes known to seecol()
are labeled by their respective names.
Labeling only custom palettes works by setting the pal_names
argument to a character vector of appropriate length:
seecol(list(my_pair, pal1, pal2, pal_unikn, pal_unikn_pair),
pal_names = c("my_pair", "blue_bord", "blue_yell"),
title = "Labeling custom color palettes")
If the pal_names
argument is specified and corresponds to the length of all color palettes, the default names of all color palettes are overwritten by pal_names
:
seecol(list(my_pair, pal1, pal2, pal_unikn, pal_unikn_pair),
pal_names = c("my_pair", "blue_bord", "blue_yell", "blue_black", "mix_pair"),
title = "Comparing and labeling custom color palettes")
As before, we can use the n
argument for obtaining shorter subsets of color palettes:
or larger values of n
for extending color palettes:
newpal()
The newpal()
function makes it easy to define new named color palettes:
col_flag <- c("#000000", "#dd0000", "#ffce00") # source: www.schemecolor.com
flag_de <- newpal(col = col_flag,
names = c("black", "red", "gold"))
seecol(flag_de, title = "Defining a flag_de color palette")
By default, newpal()
returns the new color palette as a data frame. Setting as_df = FALSE
returns a (named) vector.
grepal()
A common situation in R is that we want some particular shade of color (e.g., some sort of red), but also know that the color named “red” is not the one we want. Instead, we would like to see all colors that contain “red” in its name. This is what grepal()
is made for:
grepal("red") # get 27 names of colors() with "red" in their name
#> [1] "darkred" "indianred" "indianred1" "indianred2"
#> [5] "indianred3" "indianred4" "mediumvioletred" "orangered"
#> [9] "orangered1" "orangered2" "orangered3" "orangered4"
#> [13] "palevioletred" "palevioletred1" "palevioletred2" "palevioletred3"
#> [17] "palevioletred4" "red" "red1" "red2"
#> [21] "red3" "red4" "violetred" "violetred1"
#> [25] "violetred2" "violetred3" "violetred4"
seecol(grepal("red")) # see all colors() with "red" in their name
Note that the grepal()
allows for regular expressions:
length(grepal("gr(a|e)y")) # shades of "gray" or "grey"
#> [1] 224
length(grepal("^gr(a|e)y")) # shades starting with "gray" or "grey"
#> [1] 204
length(grepal("^gr(a|e)y$")) # shades starting and ending with "gray" or "grey"
#> [1] 2
By default, grepal()
searches the vector of named colors x = colors()
(provided by grDevices). However, it also allows searching color palettes provided as data frames (with color names):
The following versions of unikn and corresponding resources are currently available:
Type: | Version: | URL: |
---|---|---|
A. unikn (R package): | Release version | https://CRAN.R-project.org/package=unikn |
Development version | https://github.com/hneth/unikn/ | |
B. Online documentation: | Release version | https://hneth.github.io/unikn/ |
Development version | https://hneth.github.io/unikn/dev/ |
The following vignettes provide instructions and examples for using the unikn colors, color palettes, and functions:
Nr. | Vignette | Content |
---|---|---|
1. | Colors | Colors and color functions |
2. | Color recipes | Recipes for color-related tasks |
3. | Institutional colors | Creating color palettes for other institutions |
4. | Text | Text boxes and decorations |