library(microbenchmark)
library(quantmod)
library(magrittr)
options(highcharter.verbose = TRUE)
options(highcharter.debug = FALSE)
options(highcharter.rjson = TRUE)
aapl <- quantmod::getSymbols("AAPL",
src = "yahoo",
from = "2020-01-01",
auto.assign = FALSE
)
# Add some NA with SMA.
aapl$SMA <- runMean(aapl$AAPL.Close, 20)
to_benchmark <- function() {
hc <- highcharter::highchart(type = "stock", height = 500) %>%
highcharter::hc_title(text = "RJSON test") %>%
highcharter::hc_add_series(aapl, yAxis = 0, showInLegend = FALSE) %>%
highcharter::hc_add_series(aapl$SMA, yAxis = 0, showInLegend = TRUE)
return(hc)
}
# Chart with a data.frame
df <- data.frame(zoo::index(aapl), coredata(aapl))
hc_df <- function() {
hc <- highcharter::highchart() %>%
highcharter::hc_title(text = "RJSON test") %>%
highcharter::hc_add_series(df$SMA, yAxis = 0, showInLegend = TRUE)
return(hc)
}
hc <- to_benchmark()
res <- microbenchmark(
rjson::toJSON(hc),
shiny:::toJSON(hc),
times = 10
)
print(res)
#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
highcharter::highchartOutput("distPlot", height = "auto")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- highcharter::renderHighchart({
to_benchmark()
})
}
# Run the application
shinyApp(ui = ui, server = server)
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