library(highcharter) options(highcharter.theme = hc_theme_hcrt(tooltip = list(valueDecimals = 2)))
This is a set of example to show (and remember) who to do usual needs.
Let's set charts to work with.
library(highcharter) library(dplyr) data(penguins, package = "palmerpenguins") set.seed(123) penguins <- palmerpenguins::penguins penguins <- penguins |> filter(complete.cases(penguins)) |> group_by(species) |> sample_n(25) |> ungroup() |> select(flipper_length_mm, bill_length_mm, species) glimpse(penguins) hc <- hchart(penguins, "scatter", hcaes(x = flipper_length_mm, y = bill_length_mm, group = species)) hc
And:
preguins_grouped <- penguins |> group_by(species) |> summarise(flipper_length_mm_mean = mean(flipper_length_mm)) glimpse(preguins_grouped) hc2 <- hchart(preguins_grouped, "column", hcaes(x = species, y = flipper_length_mm_mean)) hc2
By default, when you hover over a series all the rest are hiding using opacity.
To avoid this behaviour you can set opactiy = 1
in the series.states.inactive
:
hc |> hc_plotOptions( series = list(states = list(inactive = list(opacity = 1))) )
More info: https://api.highcharts.com/highcharts/plotOptions.series.states.inactive.
Example: https://jsfiddle.net/gh/get/library/pure/highcharts/highcharts/tree/master/samples/highcharts/plotoptions/series-states-inactive-
Remember hc2
. If we want a new order we can give the explicit order
using hc_xAxis
:
lvls <- preguins_grouped |> mutate( species = forcats::fct_relevel(species, "Gentoo", after = 0) ) |> pull(species) |> levels() hchart(preguins_grouped, "column", hcaes(x = species, y = flipper_length_mm_mean)) |> hc_xAxis(categories = lvls)
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