simcol | R Documentation |
simcol
finds and shows colors
from a palette of color candidates col_candidates
that are similar
to some target color col_target
.
simcol(
col_target,
col_candidates = colors(),
tol = c(25, 50, 75),
distinct = TRUE,
plot = TRUE
)
col_target |
A (required) target color. |
col_candidates |
A palette of color candidates to be considered.
Default: |
tol |
Numeric tolerance value(s)
(either 1 or 3 numeric values, in the RGB range from 0 to 255).
Values are considered in the order of the RGB value rank in |
distinct |
Boolean: Return only visually distinct colors?
Default: |
plot |
Boolean: Plot the output (using |
simcol
returns a vector of the (named) colors or color values in
col_candidates
(set to colors()
of grDevices per default)
that are similar to the specified target color col_target
.
If plot = TRUE
, simcol
also visualizes the detected colors
(by passing its result to seecol
, as a side-effect).
Color similarity is defined in terms of the distance between colors' RGB values,
which must be within the numeric tolerance threshold(s) specified by tol
(with 0 <= tol <= 255
).
Higher tol
values correspond to more permissive similarity judgments.
If tol
is a scalar, the values of all three RGB dimensions
of col_candidates
must be within the corresponding values of
col_target
to be judged as 'similar'.
If tol
contains three values, the three RGB dimension are compared
in order of the dimensions' rank in col_target
(i.e., the primary dimension must be within tol[1]
, etc.).
Thus, providing three tol
values allows for
more fine-grained similarity matching.
A named vector of colors or color values.
seecol
for plotting/seeing color palettes;
usecol
for using color palettes;
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.
Other color functions:
ac()
,
demopal()
,
grepal()
,
newpal()
,
seecol()
,
shades_of()
,
usecol()
# Basic uses:
simcol(col_target = "red")
simcol("tan", tol = 15)
simcol(Seeblau, tol = c(20, 30, 40))
simcol("blue", col_candidates = pal_unikn_pref, tol = 120)
# Fine-tuning the range of color matching:
simcol(Seeblau, tol = 30) # = simcol(Seeblau, tol = c(30, 30, 30))
simcol(Seeblau, tol = c(20, 20, 80))
# Increasing tolerance widens range:
simcol("grey", c("white", "grey", "black"), tol = 255, distinct = FALSE, plot = FALSE)
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