Linear color interpolation function with adjustable range, baseline, and floor
Source:R/colorjam-gradient.R
col_linear_xf.Rd
Linear color interpolation function with adjustable range, baseline, and floor
Usage
col_linear_xf(
x = 1,
floor = 0,
baseline = 0,
lens = 0,
n = 6,
colramp = "Purples",
open_floor = FALSE,
debug = FALSE,
...
)
Arguments
- x
numeric
value used as a threshold, where numeric values at or above this valuex
are assigned the last color in the color gradient. Negative values at or below this negative value-x
are assigned the first color in the color gradient.- floor
numeric
optional value where numeric values between-x
andx
are assigned the middle color in the color gradient. Note that values at exactlyx
or-x
are assigned the next respective color away from the middle color. Whenfloor=0
orfloor=NULL
no floor is applied, and colors are assigned using a continuous range of numeric values from-x
tox
with lengthn
.- baseline
numeric
value to define the baseline value, used when zero is not the initial value. Note thatbaseline
can be either higher or lower thanx
, and colors fromcolramp
will be applied starting atbaseline
throughx
.- lens
numeric
value indicating a color lens applied to the color gradient, passed tojamba::getColorRamp()
. Lens valueslens > 0
will condense the color gradient, making smaller changes more visually distinct;lens < 0
expands the color gradient, making smaller changes less visually distinct.- n
integer
number of colors used for the initial color gradient. This value is forced to be an odd number, so the "middle color" will always be represented as one strict color. Note that when using afloor
, the first non-middle color is used for thefloor
assignment which means a smallern
value will assign a more visibly distinct color than using a largern
. See examples.- colramp
character
passed tojamba::getColorRamp()
which recognizes one of several forms of input:character
string matching the name of a color ramp fromRColorBrewer
(see divergent palettes withRColorBrewer::display.brewer.all(type="div")
). Note that adding"_r"
will reverse the color gradient, so the default"BuRd_r"
will create a color gradient with "blue-white-red" - with red for high values consistent with "heat" in "heatmaps" - where heat is red.character
vector of R colors, which define a specific color ramp. This vector will be expanded ton
length.
- open_floor
logical
indicating whether colors below the assignedfloor
will still receive non-middle color. Settingopen_floor=TRUE
is the best method to compare the effect of assigning the strict middle-color to values below thefloor
, versus using gradient colors below thefloor
, while all remaining numeric-color assignments are held constant.- debug
logical
indicating whether to produce a plot that shows the resulting color gradient.- ...
additional arguments are ignored.
Details
This function is the linear equivalent of col_div_xf()
, in that
it takes linear/sequential color gradient instead of a divergent
color gradient.
See also
Other colorjam gradients:
col_div_xf()
,
make_jam_divergent()
,
twostep_gradient()
Other colorjam assignment:
col_div_xf()
,
group2colors()
,
matrix2heatColors()
,
rainbowJamMulti()
,
vals2colorLevels()
,
vibrant_color_by_hue()
Examples
col_fn1 <- col_linear_xf(x=3, baseline=0, floor=0)
col_fn2 <- col_linear_xf(x=3, baseline=0, floor=1)
col_fn2o <- col_linear_xf(x=3, baseline=0, floor=1, open_floor=TRUE)
test_seq <- seq(from=0, to=3, by=0.05);
names(test_seq) <- round(test_seq, digits=2);
opar <- par("mfrow"=c(1, 1));
bp0 <- barplot(abs(test_seq),
las=2, yaxt="n",
main="floor=0",
col=col_fn1(test_seq),
border="#22222222")
abline(v=bp0[abs(test_seq) == 1,], lty="dashed")
bp1 <- barplot(abs(test_seq),
las=2, yaxt="n",
main="floor=1",
col=col_fn2(test_seq),
border="#22222222")
abline(v=bp1[abs(test_seq) == 1,], lty="dashed")
bp2 <- barplot(abs(test_seq),
las=2, yaxt="n",
main="floor=1\nopen_floor=TRUE",
col=col_fn2o(test_seq),
border="#22222222")
abline(v=bp2[abs(test_seq) == 1,], lty="dashed")
par(opar)
col_fn3 <- col_linear_xf(x=3, baseline=6, floor=5)
test_seq <- seq(from=0, to=7, by=0.1);
names(test_seq) <- round(test_seq, digits=2);
bp3 <- barplot(abs(test_seq),
las=2, yaxt="n",
main="baseline=6, x=3, floor=5",
col=col_fn3(test_seq),
border="#22222222")
abline(v=bp3[abs(test_seq) == 5,], lty="dashed")
abline(v=bp3[abs(test_seq) == 3,], lty="dashed")
# Optionally show how to display data and legend in ComplexHeatmap
if (jamba::check_pkg_installed("ComplexHeatmap")) {
set.seed(123);
m <- abs(matrix(ncol=9, rnorm(81) * 8));
col1 <- col_linear_xf(14, floor=4, n=8, lens=2);
hm_1 <- ComplexHeatmap::Heatmap(m, col=col1,
cell_fun=jamba::cell_fun_label(m=m, col_hm=col1),
heatmap_legend_param=list(
color_bar="discrete",
at=c(0, 2, 3.99, 4, 6, 8, 10, 12, 14),
border=TRUE),
column_title="col_linear_xf(14, floor=4)",
name="color key 1",
border=TRUE);
col2 <- col_linear_xf(14, floor=4, n=8, lens=2, open_floor=TRUE);
hm_2 <- ComplexHeatmap::Heatmap(m,
col=col2,
cell_fun=jamba::cell_fun_label(m=m, col_hm=col2),
heatmap_legend_param=list(
color_bar="discrete",
at=c(0, 2, 3.99, 4, 6, 8, 10, 12, 14),
border=TRUE),
column_title="col_linear_xf(14, floor=4, open_floor=TRUE)",
name="color key 2",
border=TRUE);
hm_1 + hm_2
}