Creating a Color Palette using colorFactor
So far we have only used color to customize the style of our map. With colorFactor()
we can create a color palette that maps colors the levels of a factor variable.
pal <-
colorFactor(palette = c("blue", "red", "green"),
levels = c("Public", "Private", "For-Profit"))
m %>%
addCircleMarkers(color = ~pal(sector_label))
Why might we not want to use this particular color palette?
If you are interested in using a continuous variable to color a map see colorNumeric()
.
pal <- colorNumeric(palette = "RdBu", domain = c(25:50))
ipeds %>%
leaflet() %>%
addProviderTiles("CartoDB") %>%
addCircleMarkers(radius = 2, color = ~pal(lat))
This is a part of the course
“Interactive Maps with leaflet in R”
Exercise instructions
- Make a color palette called
pal
for the values ofsector_label
usingcolorFactor()
using "red", blue", and "#9b4a11". - Add circle markers that color colleges using
pal()
and the values ofsector_label
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make a color palette called pal for the values of `sector_label` using `colorFactor()`
# Colors should be: "red", "blue", and "#9b4a11" for "Public", "Private", and "For-Profit" colleges, respectively
pal <- ___(palette = c("red", "blue", ___),
levels = c("Public", "Private", "For-Profit"))
# Add circle markers that color colleges using pal() and the values of sector_label
map2 <-
map %>%
addCircleMarkers(data = ca, radius = 2,
color = ~pal(sector_label),
label = ~paste0(name, " (", sector_label, ")"))
# Print map2
map2