apex-facets {apexcharter} | R Documentation |
Facets for ApexCharts
Description
Create matrix of charts by row and column faceting variable (ax_facet_grid
),
or by specified number of row and column for faceting variable(s) (ax_facet_wrap
).
Usage
ax_facet_wrap(
ax,
facets,
nrow = NULL,
ncol = NULL,
scales = c("fixed", "free", "free_y", "free_x"),
labeller = label_value,
chart_height = "300px",
grid_width = "100%"
)
ax_facet_grid(
ax,
rows = NULL,
cols = NULL,
scales = c("fixed", "free", "free_y", "free_x"),
labeller = label_value,
chart_height = "300px",
grid_width = "100%"
)
Arguments
ax |
An |
facets |
Variable(s) to use for facetting, wrapped in |
nrow , ncol |
Number of row and column in output matrix. |
scales |
Should scales be fixed ( |
labeller |
A function with one argument containing for each facet the value of the faceting variable. |
chart_height |
Individual chart height, ignored if an height is defined in |
grid_width |
Total width for the grid, regardless of the number of column. |
rows , cols |
A set of variables or expressions quoted by |
Value
An apexchart()
htmlwidget
object with an additionnal class "apex_facet"
.
Warning
To properly render in Shiny applications, use apexfacetOutput()
(in UI) and renderApexfacet()
(in Server).
Examples
### Wrap --------
if (interactive()) {
library(apexcharter)
# Scatter ----
data("mpg", package = "ggplot2")
# Create facets
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(vars(drv))
# Change number of columns
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(vars(drv), ncol = 2)
# Free axis
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(vars(drv), ncol = 2, scales = "free")
# labels
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(
vars(drv), ncol = 2,
labeller = function(x) {
switch(
x,
"f" = "front-wheel drive",
"r" = "rear wheel drive",
"4" = "4wd"
)
}
)
# Title and subtitle are treated as global
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_labs(
title = "Facet wrap example",
subtitle = "mpg data from ggplot2"
) %>%
ax_facet_wrap(vars(drv), ncol = 2)
# Multiple variables
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(vars(year, drv))
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_wrap(vars(year, drv), ncol = 2, nrow = 3)
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_chart(toolbar = list(show = FALSE)) %>%
ax_facet_wrap(
vars(year, drv),
labeller = function(x) {
paste(x, collapse = " / ")
}
)
# Lines ----
data("unhcr_ts")
refugees <- unhcr_ts %>%
subset(population_type == "Refugees (incl. refugee-like situations)") %>%
transform(date = as.Date(paste0(year, "-01-01")))
apex(refugees, aes(date, n), type = "line") %>%
ax_yaxis(tickAmount = 5) %>%
ax_facet_wrap(vars(continent_origin))
# Free y-axis and synchronize
apex(refugees, aes(date, n), type = "line", synchronize = "my-id") %>%
ax_yaxis(tickAmount = 5) %>%
ax_xaxis(tooltip = list(enabled = FALSE)) %>%
ax_tooltip(x = list(format = "yyyy")) %>%
ax_facet_wrap(vars(continent_origin), scales = "free_y")
# Bars ----
data("unhcr_ts")
refugees <- unhcr_ts %>%
subset(year == 2017)
apex(refugees, aes(continent_origin, n), type = "column") %>%
ax_yaxis(
labels = list(
formatter = format_num("~s")
),
tickAmount = 5
) %>%
ax_facet_wrap(vars(population_type), ncol = 2)
}
### Grid --------
if (interactive()) {
library(apexcharter)
# Scatter ----
data("mpg", package = "ggplot2")
# Only rows
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_grid(rows = vars(drv), chart_height = "200px")
# Only cols
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_grid(cols = vars(year))
# Rows and Cols
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_grid(rows = vars(drv), cols = vars(year))
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_chart(toolbar = list(show = FALSE)) %>%
ax_facet_grid(vars(drv), vars(cyl))
# Labels
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_facet_grid(
vars(drv),
labeller = function(x) {
switch(
x,
"f" = "front-wheel drive",
"r" = "rear wheel drive",
"4" = "4wd"
)
}
)
# Title and subtitle are treated as global
apex(mpg, aes(displ, cty), type = "scatter") %>%
ax_labs(
title = "Facet grid example",
subtitle = "mpg data from ggplot2"
) %>%
ax_facet_grid(rows = vars(drv), cols = vars(year))
}