addLegend | R Documentation |
When a color palette function is used in a map (e.g.
colorNumeric
), a color legend can be automatically derived from
the palette function. You can also manually specify the colors and labels for
the legend.
addLegend(
map,
position = c("topright", "bottomright", "bottomleft", "topleft"),
pal,
values,
na.label = "NA",
bins = 7,
colors,
opacity = 0.5,
labels = NULL,
labFormat = labelFormat(),
title = NULL,
className = "info legend",
layerId = NULL,
group = NULL,
data = getMapData(map)
)
labelFormat(
prefix = "",
suffix = "",
between = " – ",
digits = 3,
big.mark = ",",
transform = identity
)
map |
a map widget object created from |
position |
the position of the legend |
pal |
the color palette function, generated from
|
values |
the values used to generate colors from the palette function |
na.label |
the legend label for |
bins |
an approximate number of tick-marks on the color gradient for the
|
colors |
a vector of (HTML) colors to be used in the legend if
|
opacity |
the opacity of colors |
labels |
a vector of text labels in the legend corresponding to
|
labFormat |
a function to format the labels derived from |
title |
the legend title |
className |
extra CSS classes to append to the control, space separated |
layerId |
the ID of the legend; subsequent calls to |
group |
|
data |
the data object from which the argument values are derived; by
default, it is the |
prefix |
a prefix of legend labels |
suffix |
a suffix of legend labels |
between |
a separator between |
digits |
the number of digits of numeric values in labels |
big.mark |
the thousand separator |
transform |
a function to transform the label value |
The labFormat
argument is a function that takes the argument
type = c("numeric", "bin", "quantile", "factor")
, plus, arguments for
different types of color palettes. For the colorNumeric()
palette,
labFormat
takes a single argument, which is the breaks of the numeric
vector, and returns a character vector of the same length. For
colorBin()
, labFormat
also takes a vector of breaks of length
n
but should return a character vector of length n - 1
, with
the i
-th element representing the interval c(x[i], x[i + 1])
.
For colorQuantile
, labFormat
takes two arguments, the quantiles
and the associated probabilities (each of length n
), and should return
a character vector of length n - 1
(similar to the colorBin()
palette). For colorFactor()
, labFormat
takes one argument, the
unique values of the factor, and should return a character vector of the same
length.
By default, labFormat
is basically format(scientific = FALSE,
big.mark = ",")
for the numeric palette, as.character()
for the
factor palette, and a function to return labels of the form ‘x[i] - x[i
+ 1]’ for bin and quantile palettes (in the case of quantile palettes,
x
is the probabilities instead of the values of breaks).
# !formatR
library(leaflet)
# a manual legend
leaflet() %>% addTiles() %>% addLegend(
position = "bottomright",
colors = rgb(t(col2rgb(palette())) / 255),
labels = palette(), opacity = 1,
title = "An Obvious Legend"
)
# an automatic legend derived from the color palette
df <- local({
n <- 300; x <- rnorm(n); y <- rnorm(n)
z <- sqrt(x ^ 2 + y ^ 2); z[sample(n, 10)] <- NA
data.frame(x, y, z)
})
pal <- colorNumeric("OrRd", df$z)
leaflet(df) %>%
addTiles() %>%
addCircleMarkers(~x, ~y, color = ~pal(z), group = "circles") %>%
addLegend(pal = pal, values = ~z, group = "circles", position = "bottomleft") %>%
addLayersControl(overlayGroups = c("circles"))
# format legend labels
df <- data.frame(x = rnorm(100), y = rexp(100, 2), z = runif(100))
pal <- colorBin("PuOr", df$z, bins = c(0, .1, .4, .9, 1))
leaflet(df) %>%
addTiles() %>%
addCircleMarkers(~x, ~y, color = ~pal(z), group = "circles") %>%
addLegend(pal = pal, values = ~z, group = "circles", position = "bottomleft") %>%
addLayersControl(overlayGroups = c("circles"))
leaflet(df) %>%
addTiles() %>%
addCircleMarkers(~x, ~y, color = ~pal(z), group = "circles") %>%
addLegend(pal = pal, values = ~z, labFormat = labelFormat(
prefix = "(", suffix = ")%", between = ", ",
transform = function(x) 100 * x
), group = "circles", position = "bottomleft" ) %>%
addLayersControl(overlayGroups = c("circles"))
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