#' work with length(data) == 1
highchart() %>%
hc_add_series(data = 1) %>%
hc_add_theme(hc_theme_538())
highchart() %>%
hc_add_series(data = list(1)) %>%
hc_add_theme(hc_theme_538())
# data.frame --------------------------------------------------------------
data <- mtcars %>% mutate(x = hp, y = disp)
highchart() %>%
hc_add_series(data = data, type = "scatter")
highchart() %>%
hc_add_series(data = mtcars, type = "scatter", hcaes(x = hp, y = disp),
name = "The boring mtcars")
# numeric and lists -------------------------------------------------------
highchart() %>%
hc_add_series(data = abs(rnorm(5)), type = "column", name = "asd") %>%
hc_add_series(data = abs(rnorm(5))) %>%
hc_add_series(data = purrr::map(0:4, function(x) list(x, x)), type = "scatter", color = "blue", name = "dsa")
# time series -------------------------------------------------------------
highchart() %>%
hc_xAxis(type = "datetime") %>% # important
hc_add_series(data = mdeaths, lineWidth = 5) %>%
hc_add_series(data = fdeaths, name = "Other Series") %>%
hc_add_series(data = ldeaths)
hchart(ldeaths)
# xts ---------------------------------------------------------------------
library("quantmod")
usdjpy <- getSymbols("USD/JPY", src="oanda", auto.assign = FALSE)
eurkpw <- getSymbols("EUR/KPW", src="oanda", auto.assign = FALSE)
highchart(type = "stock") %>%
hc_add_series(usdjpy, id = "usdjpy") %>%
hc_add_series(data = eurkpw, id = "eurkpw")
# ohlc
library("quantmod")
x <- getSymbols("GOOG", auto.assign = FALSE)
y <- getSymbols("SPY", auto.assign = FALSE)
highchart(type = "stock") %>%
hc_add_series(x) %>%
hc_add_series(y, type = "ohlc") %>%
hc_add_series(eurkpw, id = "eurkpw")
hchart(x, type = "ohlc")
hchart(y, type = "candlestick")
# forecast ----------------------------------------------------------------
library(forecast)
x <- log(AirPassengers)
object1 <- forecast(auto.arima(x), level = 90)
object2 <- forecast(stl(x, s.window = 12), level = 90)
object3 <- forecast(ets(x), level = 90)
hchart(object2)
hchart(object2, addOriginal = FALSE)
hchart(object2, addLevels = FALSE)
hchart(object2, addOriginal = FALSE, addLevels = FALSE)
highchart() %>%
hc_xAxis(type = "datetime") %>%
hc_tooltip(table = TRUE, shared = TRUE) %>%
hc_add_series(data = x, name = "Air Passengers") %>%
hc_add_series(data = object1, addLevels = TRUE, color = "#FF0000") %>%
hc_add_series(data = object2, addLevels = TRUE, color = "#00FF00") %>%
hc_add_series(data = object3, addLevels = TRUE, color = "#0000FF")
# density -----------------------------------------------------------------
highchart() %>%
hc_add_series(data = density(rbeta(1000, 5, 5)), type = "line") %>%
hc_add_series(data = density(rbeta(1000, 5, 1)), type = "area") %>%
hc_add_series(data = density(rbeta(1000, 1, 5)), type = "areaspline")
hchart(density(rnorm(200), bw = 2), type = "area")
hcdensity(density(rexp(500, 1)))
hcdensity(rexp(500, 1))
# character ---------------------------------------------------------------
library(dplyr)
data <- sample(LETTERS[1:6], 50, prob = stats::runif(6), replace = TRUE)
data2 <- sample(LETTERS[4:10], 50, replace = TRUE)
data3 <- sample(LETTERS[3:7], 50, replace = TRUE)
as_data_frame(table(data)) %>%
full_join(as_data_frame(table(data2)), by = c("data" = "data2")) %>%
full_join(as_data_frame(table(data3)), by = c("data" = "data3"))
hc <- highchart() %>%
hc_xAxis(type = "category") %>% # important
hc_add_series(data) %>%
hc_add_series(data2) %>%
hc_add_series(data3)
hc
hc %>%
hc_chart(type = "column") %>%
hc_plotOptions(column = list(stacking = "normal"))
hchart(data)
hcpie(data)
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