243 lines
4.8 KiB
Plaintext
243 lines
4.8 KiB
Plaintext
---
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title: "Customize chart options"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Customize chart options}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteEncoding{UTF-8}
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---
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```{r, include = FALSE}
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options(rmarkdown.html_vignette.check_title = FALSE)
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knitr::opts_chunk$set(
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collapse = TRUE,
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comment = "#>"
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)
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```
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## Title, subtitle and axis titles
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Packages and data used below:
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```{r message=FALSE, warning=FALSE}
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library(apexcharter)
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data("diamonds", package = "ggplot2")
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```
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### Labs
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You can set title, subtitle and axis' titles at once with `ax_labs()`:
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_labs(
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title = "Cut distribution",
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subtitle = "Data from ggplot2",
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x = "Cut",
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y = "Count"
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)
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```
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If you want more control (font size, alignment, ...), you can use `ax_title()`, `ax_subtitle()`, `ax_xaxis()` and `ax_yaxis()`, as described below.
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### Title
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_title(text = "Cut distribution")
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```
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You can set some options, for example:
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_title(
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text = "Cut distribution",
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align = "center",
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style = list(fontSize = "22px", fontWeight = 700)
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)
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```
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Full list of parameters is available here : https://apexcharts.com/docs/options/title/
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### Subtitle
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_title(text = "Cut distribution") %>%
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ax_subtitle(text = "Data from ggplot2")
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```
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With same options than for title:
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_title(
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text = "Cut distribution",
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align = "center",
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style = list(fontSize = "22px", fontWeight = 700)
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) %>%
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ax_subtitle(
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text = "Data from ggplot2",
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align = "center",
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style = list(fontSize = "16px", fontWeight = 400, color = "#BDBDBD")
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)
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```
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Full list of parameters is available here : https://apexcharts.com/docs/options/subtitle/
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### Axis title
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_yaxis(title = list(text = "Count")) %>%
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ax_xaxis(title = list(text = "Cut"))
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```
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With some options:
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```{r}
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apex(data = diamonds, type = "column", mapping = aes(x = cut)) %>%
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ax_yaxis(title = list(
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text = "Count",
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style = list(fontSize = "14px", color = "#BDBDBD")
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)) %>%
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ax_xaxis(title = list(
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text = "Cut",
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style = list(fontSize = "14px", color = "#BDBDBD")
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))
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```
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## Lines
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```{r message=FALSE, warning=FALSE}
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library(apexcharter)
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## economics dataset from ggplot2
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data("economics", package = "ggplot2")
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data("economics_long", package = "ggplot2")
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economics <- tail(economics, 50)
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economics_long <- subset(economics_long, date >= "2010-01-01")
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```
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### Type of line
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Classic line:
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed))
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```
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Spline curve:
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_stroke(curve = "smooth")
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```
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Steps chart:
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_stroke(curve = "stepline")
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```
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### Line appearance
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Color line with gradient:
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_fill(
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type = "gradient",
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gradient = list(
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shade = "dark",
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gradientToColors = list("#FDD835"),
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shadeIntensity = 1,
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type = "horizontal",
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opacityFrom = 1,
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opacityTo = 1,
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stops = c(0, 100, 100, 100)
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)
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)
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```
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Solid area color:
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```{r}
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apex(data = economics, type = "area", mapping = aes(x = date, y = uempmed)) %>%
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ax_fill(type = "solid", opacity = 1)
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```
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Line width:
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_stroke(width = 1)
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```
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Dotted line
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```{r}
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apex(data = economics, type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_stroke(dashArray = 6)
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```
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### Markers
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Add points to line :
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```{r}
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apex(data = tail(economics, 20), type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_markers(size = 6)
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```
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Add labels over points
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```{r}
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apex(data = tail(economics, 20), type = "line", mapping = aes(x = date, y = uempmed)) %>%
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ax_markers(size = 6) %>%
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ax_dataLabels(enabled = TRUE)
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```
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### Multiple lines
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You can use vectors of parameters to custom series separately:
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```{r}
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apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, group = variable)) %>%
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ax_yaxis(decimalsInFloat = 2) %>%
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ax_markers(size = c(3, 6)) %>%
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ax_stroke(width = c(1, 3))
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```
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```{r}
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apex(data = economics_long, type = "line", mapping = aes(x = date, y = value01, group = variable)) %>%
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ax_yaxis(decimalsInFloat = 2) %>%
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ax_stroke(dashArray = c(8, 5))
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```
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