61 lines
1.2 KiB
R
61 lines
1.2 KiB
R
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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# 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(
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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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unhcr_ts %>%
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subset(population_type == "Refugees (incl. refugee-like situations)") %>%
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apex(aes(as.Date(paste0(year, "-01-01")), 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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