102 lines
2.4 KiB
R
102 lines
2.4 KiB
R
### Wrap --------
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if (interactive()) {
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library(apexcharter)
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# Scatter ----
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data("mpg", package = "ggplot2")
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# Create facets
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(vars(drv))
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# Change number of columns
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(vars(drv), ncol = 2)
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# Free axis
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(vars(drv), ncol = 2, scales = "free")
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# labels
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(
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vars(drv), ncol = 2,
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labeller = function(x) {
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switch(
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x,
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"f" = "front-wheel drive",
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"r" = "rear wheel drive",
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"4" = "4wd"
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)
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}
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)
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# Title and subtitle are treated as global
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_labs(
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title = "Facet wrap example",
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subtitle = "mpg data from ggplot2"
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) %>%
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ax_facet_wrap(vars(drv), ncol = 2)
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# Multiple variables
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(vars(year, drv))
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_facet_wrap(vars(year, drv), ncol = 2, nrow = 3)
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apex(mpg, aes(displ, cty), type = "scatter") %>%
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ax_chart(toolbar = list(show = FALSE)) %>%
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ax_facet_wrap(
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vars(year, drv),
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labeller = function(x) {
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paste(x, collapse = " / ")
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}
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)
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# Lines ----
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data("unhcr_ts")
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refugees <- unhcr_ts %>%
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subset(population_type == "Refugees (incl. refugee-like situations)") %>%
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transform(date = as.Date(paste0(year, "-01-01")))
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apex(refugees, aes(date, n), type = "line") %>%
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ax_yaxis(tickAmount = 5) %>%
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ax_facet_wrap(vars(continent_origin))
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# Free y-axis and synchronize
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apex(refugees, aes(date, n), type = "line", synchronize = "my-id") %>%
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ax_yaxis(tickAmount = 5) %>%
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ax_xaxis(tooltip = list(enabled = FALSE)) %>%
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ax_tooltip(x = list(format = "yyyy")) %>%
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ax_facet_wrap(vars(continent_origin), scales = "free_y")
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# Bars ----
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data("unhcr_ts")
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refugees <- unhcr_ts %>%
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subset(year == 2017)
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apex(refugees, aes(continent_origin, n), type = "column") %>%
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ax_yaxis(
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labels = list(
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formatter = format_num("~s")
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),
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tickAmount = 5
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) %>%
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ax_facet_wrap(vars(population_type), ncol = 2)
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}
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