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index.Rmd
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---
output: html_document
editor_options:
chunk_output_type: console
---
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/highcharter?color=brightgreen)](https://cran.r-project.org/package=highcharter)
[![CRAN downloads](https://cranlogs.r-pkg.org/badges/highcharter?color=brightgreen)](https://www.r-pkg.org/pkg/highcharter)
[![travis-status](https://api.travis-ci.org/jbkunst/highcharter.svg)](https://travis-ci.org/jbkunst/highcharter)
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[![GitHub closed issues](https://img.shields.io/github/issues-raw/jbkunst/highcharter.svg)](https://github.com/jbkunst/highcharter/issues)
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<h1><div id="brand">h|1i|0g|3h|2c|1h|2a|1r|3t|2e|1r|2{rpackage}</div></h1>
```{r, echo=FALSE, message=FALSE, warning=FALSE}
library(highcharter)
library(tidyverse)
hc_theme_index <-
hc_theme_smpl(
plotOptions = list(
series = list(showInLegend = FALSE),
line = list(lineWidth = 1.2)
),
xAxis = list(
showLastLabel = FALSE,
showFirstLabel = FALSE,
endOnTick = FALSE,
startOnTick = FALSE
),
yAxis = list(
showLastLabel = FALSE,
showFirstLabel = FALSE,
endOnTick = FALSE,
startOnTick = FALSE
),
tooltip = list(valueDecimals = 2)
)
# example 1
data(mpg, package = "ggplot2")
mpg <- select(mpg, displ, hwy)
p1 <- hchart(
mpg,
"scatter",
hcaes(x = displ, y = hwy, color = hwy),
name = "Cars"
) %>%
hc_add_theme(hc_theme_index)
# example 2
library(forecast)
p2 <- hchart(
forecast(ets(AirPassengers), level = 90, h = 12 * 2),
fillOpacity = 0.7
) %>%
hc_xAxis(min = datetime_to_timestamp(as.Date("1955-01-01"))) %>%
hc_add_theme(hc_theme_index)
# example 3
data(GNI2014, package = "treemap")
GNI2014 <- select(GNI2014, -population, -continent)
p3 <- hcmap(
"custom/world-robinson-lowres",
data = GNI2014,
name = "GNI",
value = "GNI",
joinBy = c("iso-a3", "iso3"),
nullColor = "#932667"
) %>%
hc_colorAxis(
stops = color_stops(colors = viridisLite::inferno(10, begin = 0.1)),
type = "logarithmic"
) %>%
hc_legend(enabled = FALSE) %>%
hc_mapNavigation(enabled = FALSE)
# example 4
p4 <- hcboxplot(
iris$Sepal.Length,
var = iris$Species,
name = "Sepal Length",
color = "red"
) %>%
hc_xAxis(showLastLabel = TRUE, showFirstLabel = TRUE) %>%
hc_add_theme(hc_theme_index)
# example 5
library(igraph)
set.seed(12313)
N <- 24
net <- sample_pa(N)
wc <- cluster_walktrap(net)
V(net)$label <- 1:N
V(net)$name <- 1:N
V(net)$page_rank <- round(page.rank(net)$vector, 2)
V(net)$betweenness <- round(betweenness(net), 2)
V(net)$degree <- degree(net)
V(net)$size <- V(net)$degree + 1
V(net)$comm <- membership(wc)
V(net)$color <- colorize(membership(wc), viridisLite::magma(length(wc)))
p5 <- hchart(net, layout = layout_with_fr, maxSize = 13)
# example 6
p6 <- hciconarray(
c("bicycle", "taxi", "subway"),
c(17, 12, 6),
rows = 4,
icons = c("bicycle", "taxi", "subway"),
showInLegend = TRUE
) %>%
hc_colors(c("darkgreen", "#CCCC00", "#808183"))
# example 7
p7 <- highchart() %>%
hc_chart(type = "area") %>%
hc_add_series(density(rnorm(10000000)), name = "Normal Distribution") %>%
hc_add_series(density(rgamma(10000000, 5, 0.8)), name = "Gamma(5. 0.8) Distribution") %>%
# hc_add_series(density(rgamma(10000000, 3, 0.8)), name = "Gamma(3. 0.8) Distribution") %>%
hc_plotOptions(series = list(fillOpacity = 0.5)) %>%
hc_xAxis(min = -5, max = 12) %>%
hc_add_theme(hc_theme_index)
# example 8
brks <- seq(-3, 3, length.out = 40)
grid <- expand.grid(brks, brks)
m <- as.data.frame(grid) %>%
mutate(
value =
mvtnorm::dmvnorm(grid, mean = c(1, 1), sigma = matrix(c(1, .2, .2, 1), nrow = 2)) +
mvtnorm::dmvnorm(grid, mean = c(-1,-1), sigma = matrix(c(1,-.8,-.8, 1), nrow = 2)) +
mvtnorm::dmvnorm(grid, mean = c(0, 0), sigma = matrix(c(1.5, 0, 0, 1.5), nrow = 2))
) %>%
spread(Var2, value) %>%
select(-Var1) %>%
as.matrix()
colnames(m) <- rownames(m) <- NULL
ncols <- 10
cols <- c(rep("white", 2), rev(viridisLite::inferno(ncols - 2, begin = 0)))
cols <- hex_to_rgba(cols, alpha = 1:ncols / ncols)
colssotps <- list_parse2(
data.frame(
q = seq(0, ncols - 1) / (ncols - 1),
c = cols
)
)
p8 <- hchart(m) %>%
hc_add_theme(hc_theme_null()) %>%
hc_legend(enabled = FALSE) %>%
hc_colorAxis(stops = colssotps)
# example 8
library(rwars)
swmovies <- get_all_films()
swdata <- map_df(swmovies$results, function(x) {
data_frame(
movie = x$title,
species = length(x$species),
planets = length(x$planets),
characters = length(x$characters),
vehicles = length(x$vehicles),
release = x$release_date
)
})
swdata <- gather(swdata, key, number,-movie,-release) %>%
arrange(release)
p9 <- hchart(
swdata,
"line",
hcaes(x = movie, y = number, group = key),
color = c("#e5b13a", "#4bd5ee", "#4AA942", "#FAFAFA")
) %>%
hc_xAxis(visible = FALSE) %>%
hc_title(
text = "Diversity in <span style=\"color:#e5b13a\"> STAR WARS</span> movies",
style = list(fontSize = "13px"),
useHTML = TRUE
) %>%
hc_tooltip(table = TRUE, sort = TRUE) %>%
hc_credits(
enabled = TRUE,
text = "Source: SWAPI via rwars package",
href = "https://swapi.co/"
) %>%
hc_add_theme(
hc_theme_flatdark(
chart = list(
backgroundColor = "transparent",
divBackgroundImage = "https://www.wired.com/images_blogs/underwire/2013/02/xwing-bg.gif"
)
)
)
# example 10
p10 <- hchart(rgamma(10000, shape = 2, scale = 3)) %>%
hc_add_theme(hc_theme_smpl()) %>%
hc_add_theme(hc_theme_index)
plots <- list(
p1, p2,
p3, p9,
p4, p7,
p5, p10
#, p8, p6
)
plots <- map(plots, hc_size, height = 300)
divplots <- map(plots, tags$div, class = "col-sm-6")
divplots <- htmltools::tagList(tags$div(class = "row", style = "padding-right: 10px", divplots))
# htmltools::browsable(divplots)
divplots
```
Highcharter is a [R](https://cran.r-project.org/) wrapper for
**[Highcharts](https://www.highcharts.com/)** javascript libray and its modules.
Highcharts is very mature and flexible javascript charting library and
it has a great and powerful API^[See https://www.highcharts.com/demo].
The main features of this package are:
* Various chart type: scatters, bubble, line,
time series, heatmaps, treemap, bar charts, networks.
* Chart various R object with one function. With hchart(x) you can
chart: data.frames, numeric, histogram, character, density, factors, ts,
mts, xts, stl, ohlc, acf, forecast, mforecast, ets, igraph, dist,
dendrogram, phylo, survfit classes.
* Support Highstock charts. You can create a candlestick charts in 2 lines
of code. Support xts objects from the quantmod package.
* Support Highmaps charts. It's easy to create choropleths or add
information in geojson format.
* Themes: you configurate your chart in multiples ways. There are
implemented themes like economist, financial times, google, 538 among
others.
* A lot of Plugins: motion, drag points, fontawesome, url-pattern, annotations.
## Highcharts: Hello World Example
This is a simple example using `hchart` function.
```{r, include=FALSE}
knitr::opts_chunk$set(message = FALSE, warning = FALSE)
options(highcharter.theme = hc_theme_smpl())
```
```{r}
library(highcharter)
data(diamonds, mpg, package = "ggplot2")
hchart(mpg, "scatter", hcaes(x = displ, y = hwy, group = class))
```
Among its features highcharter can chart various objects depending of
its class with the generic^[I want to say *magic*] `hchart` function.
```{r}
x <- c(rnorm(1000), rnorm(500, 5))
hchart(x, name = "data")
```
One of the nicest class which `hchart` can plot is the `forecast`
class from the forecast package.
```{r}
library(forecast)
airforecast <- forecast(auto.arima(AirPassengers), level = 95)
hchart(airforecast)
```
## Highstock
With highcharter you can use the highstock library which
include sophisticated navigation options like a small navigator
series, preset date ranges, date picker, scrolling and panning.
With highcarter it's easy make candlesticks or ohlc charts using
time series data. For example data from [quantmod](https://www.quantmod.com/)
package.
```{r}
library(quantmod)
x <- getSymbols("GOOG", auto.assign = FALSE)
y <- getSymbols("AMZN", auto.assign = FALSE)
highchart(type = "stock") %>%
hc_add_series(x) %>%
hc_add_series(y, type = "ohlc")
```
## Highmaps
You can chart maps and choropleth using the highmaps module., build interactive
maps to display data linked to geographic objects.
```{r}
data(GNI2014, package = "treemap")
hcmap(
"custom/world-robinson-lowres",data = GNI2014,
name = "GNI",
value = "GNI",
joinBy = c("iso-a3", "iso3")
) %>%
hc_colorAxis(
stops = color_stops(colors = viridisLite::inferno(10, begin = 0.1)),
type = "logarithmic"
)
```