library(dplyr)
data(mpg, package = "ggplot2")
mpgman2 <- mpg |>
group_by(manufacturer, year) |>
dplyr::summarise(
n = dplyr::n(),
displ = mean(displ),
.groups = "drop"
)
mpgman2
hchart(
mpgman2, "column", hcaes(x = manufacturer, y = n, group = year),
colorKey = "displ",
# color = c("#FCA50A", "#FCFFA4"),
name = c("Year 1999", "Year 2008")
) |>
hc_colorAxis(min = 0, max = 5)
# defaults to yAxis
hchart(iris, "point", hcaes(Sepal.Length, Sepal.Width)) |>
hc_colorAxis(
minColor = "red",
maxColor = "blue"
)
# Ex2
n <- 5
stops <- data.frame(
q = 0:n/n,
c = c("#440154", "#414487", "#2A788E", "#22A884", "#7AD151", "#FDE725"),
stringsAsFactors = FALSE
)
stops <- list_parse2(stops)
M <- round(matrix(rnorm(50*50), ncol = 50), 2)
hchart(M) |>
hc_colorAxis(stops = stops)
# Ex3
hchart(volcano) |>
hc_colorAxis(stops = stops, max = 200)
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