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I need to replicate this chart bellow in my shiny app. But I am struggling to deal with the javascript part Any help would be amazing:
Clock Chart Highchart
This is the javascript code: how do I 'translate' this to R?
Any help/indication to deal with javascript in R would be amazing.
Many many tahnks guys
`/**
* Get the current time
*/
function getNow() {
var now = new Date();
return {
hours: now.getHours() + now.getMinutes() / 60,
minutes: now.getMinutes() * 12 / 60 + now.getSeconds() * 12 / 3600,
seconds: now.getSeconds() * 12 / 60
};
}
/**
* Pad numbers
*/
function pad(number, length) {
// Create an array of the remaining length + 1 and join it with 0's
return new Array((length || 2) + 1 - String(number).length).join(0) + number;
}
var now = getNow();
// Create the chart
Highcharts.chart('container', {
chart: {
type: 'gauge',
plotBackgroundColor: null,
plotBackgroundImage: null,
plotBorderWidth: 0,
plotShadow: false,
height: '80%'
},
credits: {
enabled: false
},
title: {
text: 'The Highcharts clock'
},
pane: {
background: [{
// default background
}, {
// reflex for supported browsers
backgroundColor: Highcharts.svg ? {
radialGradient: {
cx: 0.5,
cy: -0.4,
r: 1.9
},
stops: [
[0.5, 'rgba(255, 255, 255, 0.2)'],
[0.5, 'rgba(200, 200, 200, 0.2)']
]
} : null
}]
},
yAxis: {
labels: {
distance: -20
},
min: 0,
max: 12,
lineWidth: 0,
showFirstLabel: false,
minorTickInterval: 'auto',
minorTickWidth: 1,
minorTickLength: 5,
minorTickPosition: 'inside',
minorGridLineWidth: 0,
minorTickColor: '#666',
tickInterval: 1,
tickWidth: 2,
tickPosition: 'inside',
tickLength: 10,
tickColor: '#666',
title: {
text: 'Powered by<br/>Highcharts',
style: {
color: '#BBB',
fontWeight: 'normal',
fontSize: '8px',
lineHeight: '10px'
},
y: 10
}
},
tooltip: {
formatter: function () {
return this.series.chart.tooltipText;
}
},
series: [{
data: [{
id: 'hour',
y: now.hours,
dial: {
radius: '60%',
baseWidth: 4,
baseLength: '95%',
rearLength: 0
}
}, {
id: 'minute',
y: now.minutes,
dial: {
baseLength: '95%',
rearLength: 0
}
}, {
id: 'second',
y: now.seconds,
dial: {
radius: '100%',
baseWidth: 1,
rearLength: '20%'
}
}],
animation: false,
dataLabels: {
enabled: false
}
}]
},
// Move
function (chart) {
setInterval(function () {
now = getNow();
if (chart.axes) { // not destroyed
var hour = chart.get('hour'),
minute = chart.get('minute'),
second = chart.get('second'),
// run animation unless we're wrapping around from 59 to 0
animation = now.seconds === 0 ?
false : {
easing: 'easeOutBounce'
};
// Cache the tooltip text
chart.tooltipText =
pad(Math.floor(now.hours), 2) + ':' +
pad(Math.floor(now.minutes * 5), 2) + ':' +
pad(now.seconds * 5, 2);
hour.update(now.hours, true, animation);
minute.update(now.minutes, true, animation);
second.update(now.seconds, true, animation);
}
}, 1000);
});
/**
* Easing function from https://github.com/danro/easing-js/blob/master/easing.js
*/
Math.easeOutBounce = function (pos) {
if ((pos) < (1 / 2.75)) {
return (7.5625 * pos * pos);
}
if (pos < (2 / 2.75)) {
return (7.5625 * (pos -= (1.5 / 2.75)) * pos + 0.75);
}
if (pos < (2.5 / 2.75)) {
return (7.5625 * (pos -= (2.25 / 2.75)) * pos + 0.9375);
}
return (7.5625 * (pos -= (2.625 / 2.75)) * pos + 0.984375);
};`
This converts that JS into R/JS (you need to collect time in Javascript). I noticed odd vertical lines in the Viewer pane of RStudio when this runs, but these lines don't appear in my browser.
For most calls in JS for highcharter, the function or argument is identical in R. I used lubridate for the time functions in the R code. (Although, you could set the time to static values because the time isn't controlled by R code.)
After creating the graph, I used htmlwidgets::onRender to give add the animation so that it follows actual time.
If you run this without htmlwidgets, this is what you'll see. (Well, you'll see the time on the clock for your local time at the moment you render it.)
library(highcharter)
library(lubridate)
highchart() %>%
hc_chart(type = "gauge", plotBackgroundColor = NULL,
plotBackgroundImage = NULL, plotBorderWidth = 0,
plotShadow = F) %>%
hc_pane(
background = list(
backgroundColor = list(
radialGradient = list(cx = .5, cy = -.4, r = 1.9),
stops = list(
list(.5, "rgba(255, 255, 255, .2)"),
list(.5, "rgba(200, 200, 200, .2)"))
))) %>%
hc_tooltip(enabled = FALSE) %>%
hc_yAxis(
labels = list(distance = -20),
min = 0, max = 12, lineWidth = 0, showFirstLabel = F,
minorTickInterval = "auto", minorTickWidth = 1,
minorTickColor = "#666", tickColor = "#666",
minorTickPosition = "inside", minorGridLineWidth = 0,
tickInterval = 1, tickWidth = 2, tickPosition = "inside",
tickLength = 10) %>%
hc_add_series(
data = list(
list(id = "hour", y = hour(now()), dial = list(
radius = "60%", baseWidth = 4, baseLength = "95%", rearLength = 0)),
list(id = "minute", y = minute(now()), dial = list(
baseLength = "95%", rearLength = 0)),
list(id = "second", y = second(now()), dial = list(
radius = "100%", baseWidth = 1, rearLength = "20%"))),
dataLabels = list(enabled = F)) %>%
htmlwidgets::onRender("
function(el, x) {
chart = $('#' + el.id).highcharts()
$.extend($.easing, {
easeOutElastic: function (x, t, b, c, d) {
var s = 1.70158; var p = 0; var a = c;
if (t == 0) return b; if ((t /= d) == 1) return b+c;
if (!p) p = d*.3;
if (a < Math.abs(c)) { a = c; var s = p/4; }
else var s = p/(2 * Math.PI) * Math.asin (c/a);
return a * Math.pow(2, -10 * t) * Math.sin( (t * d - s) * (2 * Math.PI)/p) + c + b;
}
});
function getNow () {
var now = new Date();
return {
hours: now.getHours() + now.getMinutes() / 60,
minutes: now.getMinutes() * 12 / 60 + now.getSeconds() * 12 / 3600,
seconds: now.getSeconds() * 12 / 60
};
};
setInterval(function () {
var hour = chart.get('hour'),
minute = chart.get('minute'),
second = chart.get('second'),
now = getNow(),
/* run animation unless we're wrapping around from 59 to 0 */
animation = now.seconds == 0 ?
false : {easing: 'easeOutElastic'};
hour.update(now.hours, true, animation);
minute.update(now.minutes, true, animation);
second.update(now.seconds, true, animation);
}, 1000);
}")
In this JS, you'll see some deviation from the original code. I needed to define 'chart'. I did that using the same mechanism that is used to change any highcharter R object into it's HTML rendering: chart = $('#' + el.id).highcharts(). Since the function that sets the interval was originally part of creating the graph, it was an unnamed function. Since we're calling after we render the graph, I dropped that outer function(chart).
I want to make an animated plot with a 3D surface
I was trying to replicate this example
https://stackoverflow.com/a/66117098/11555164
But I was unable to make it work, is not rotating
library(shiny)
library(plotly)
library(htmlwidgets)
ui <- fluidPage(
plotlyOutput("graph")
)
server <- function(input, output, session) {
N <- 100
x <- rnorm(N, mean = 50, sd = 2.3)
y <- runif(N, min = 0, max = 100)
z <- runif(N, min = 4, max = 70)
luci.frame <- data.frame(x, y, z)
output$graph <- renderPlotly({
plot_ly(
type = "scatter3d",
mode = "markers",
data = luci.frame,
x = ~ x,
y = ~ y,
z = ~ z
) %>%
layout(scene = list(camera = list(
eye = list(
x = 1.25,
y = 1.25,
z = 1.25
),
center = list(x = 0,
y = 0,
z = 0)
))) %>%
onRender("
function(el, x){
var id = el.getAttribute('id');
var gd = document.getElementById(id);
Plotly.plot(id).then(attach);
function attach() {
var cnt = 0;
function run() {
rotate('scene', Math.PI / 180);
requestAnimationFrame(run);
}
run();
function rotate(id, angle) {
var eye0 = gd.layout[id].camera.eye
var rtz = xyz2rtz(eye0);
rtz.t += angle;
var eye1 = rtz2xyz(rtz);
Plotly.relayout(gd, id + '.camera.eye', eye1)
}
function xyz2rtz(xyz) {
return {
r: Math.sqrt(xyz.x * xyz.x + xyz.y * xyz.y),
t: Math.atan2(xyz.y, xyz.x),
z: xyz.z
};
}
function rtz2xyz(rtz) {
return {
x: rtz.r * Math.cos(rtz.t),
y: rtz.r * Math.sin(rtz.t),
z: rtz.z
};
}
};
}
")
})
}
shinyApp(ui, server)
I don't get any error in the console of Rstudio
I also try to isolate the code, and avoid the use of Shiny (to save it as HTML)
And in Chrome, I get and rendering error when opening the Debugging
This is the second code (without shiny)
#library(shiny)
library(plotly)
library(htmlwidgets)
N <- 100
x <- rnorm(N, mean = 50, sd = 2.3)
y <- runif(N, min = 0, max = 100)
z <- runif(N, min = 4, max = 70)
luci.frame <- data.frame(x, y, z)
plot_ly(
type = "scatter3d",
mode = "markers",
data = luci.frame,
x = ~ x,
y = ~ y,
z = ~ z
) %>%
layout(scene = list(camera = list(
eye = list(
x = 1.25,
y = 1.25,
z = 1.25
),
center = list(x = 0,
y = 0,
z = 0)
))) %>%
onRender("
function(el, x){
var id = el.getAttribute('id');
var gd = document.getElementById(id);
Plotly.plot(id).then(attach);
function attach() {
var cnt = 0;
function run() {
rotate('scene', Math.PI / 180);
requestAnimationFrame(run);
}
run();
function rotate(id, angle) {
var eye0 = gd.layout[id].camera.eye
var rtz = xyz2rtz(eye0);
rtz.t += angle;
var eye1 = rtz2xyz(rtz);
Plotly.relayout(gd, id + '.camera.eye', eye1)
}
function xyz2rtz(xyz) {
return {
r: Math.sqrt(xyz.x * xyz.x + xyz.y * xyz.y),
t: Math.atan2(xyz.y, xyz.x),
z: xyz.z
};
}
function rtz2xyz(rtz) {
return {
x: rtz.r * Math.cos(rtz.t),
y: rtz.r * Math.sin(rtz.t),
z: rtz.z
};
}
};
}
")
Im missing something on onRender?
Update:
Thanks to #ismirsehregal for the update in the change of Plotly.plot to Plotly.update
You can check the accepted answer
In case you need the version without Shiny, you can use this code
library(plotly)
library(htmlwidgets)
N <- 100
x <- rnorm(N, mean = 50, sd = 2.3)
y <- runif(N, min = 0, max = 100)
z <- runif(N, min = 4, max = 70)
luci.frame <- data.frame(x, y, z)
PLT <- plot_ly(
type = "scatter3d",
mode = "markers",
data = luci.frame,
x = ~ x,
y = ~ y,
z = ~ z
) %>%
layout(scene = list(camera = list(
eye = list(
x = 1.25,
y = 1.25,
z = 1.25
),
center = list(x = 0,
y = 0,
z = 0)
))) %>%
onRender("
function(el, x){
var id = el.getAttribute('id');
var gd = document.getElementById(id);
Plotly.update(id).then(attach);
function attach() {
var cnt = 0;
function run() {
rotate('scene', Math.PI / 1000);
requestAnimationFrame(run);
}
run();
function rotate(id, angle) {
var eye0 = gd.layout[id].camera.eye
var rtz = xyz2rtz(eye0);
rtz.t += angle;
var eye1 = rtz2xyz(rtz);
Plotly.relayout(gd, id + '.camera.eye', eye1)
}
function xyz2rtz(xyz) {
return {
r: Math.sqrt(xyz.x * xyz.x + xyz.y * xyz.y),
t: Math.atan2(xyz.y, xyz.x),
z: xyz.z
};
}
function rtz2xyz(rtz) {
return {
x: rtz.r * Math.cos(rtz.t),
y: rtz.r * Math.sin(rtz.t),
z: rtz.z
};
}
};
}
")
PLT
R plotly 4.10.0 recently updated the underlying plotly.js library from v1.57.1 to v2.5.1. This includes many breaking changes - With version 2.0 of plotly.js the function Plotly.plot was dropped.
To get back the old behaviour Plotly.plot can be replaced by Plotly.update:
library(shiny)
library(plotly)
library(htmlwidgets)
ui <- fluidPage(
plotlyOutput("graph")
)
server <- function(input, output, session) {
N <- 100
x <- rnorm(N, mean = 50, sd = 2.3)
y <- runif(N, min = 0, max = 100)
z <- runif(N, min = 4, max = 70)
luci.frame <- data.frame(x, y, z)
output$graph <- renderPlotly({
plot_ly(
type = "scatter3d",
mode = "markers",
data = luci.frame,
x = ~ x,
y = ~ y,
z = ~ z
) %>%
layout(scene = list(camera = list(
eye = list(
x = 1.25,
y = 1.25,
z = 1.25
),
center = list(x = 0,
y = 0,
z = 0)
))) %>%
onRender("
function(el, x){
var id = el.getAttribute('id');
var gd = document.getElementById(id);
Plotly.update(id).then(attach);
function attach() {
var cnt = 0;
function run() {
rotate('scene', Math.PI / 180);
requestAnimationFrame(run);
}
run();
function rotate(id, angle) {
var eye0 = gd.layout[id].camera.eye
var rtz = xyz2rtz(eye0);
rtz.t += angle;
var eye1 = rtz2xyz(rtz);
Plotly.relayout(gd, id + '.camera.eye', eye1)
}
function xyz2rtz(xyz) {
return {
r: Math.sqrt(xyz.x * xyz.x + xyz.y * xyz.y),
t: Math.atan2(xyz.y, xyz.x),
z: xyz.z
};
}
function rtz2xyz(rtz) {
return {
x: rtz.r * Math.cos(rtz.t),
y: rtz.r * Math.sin(rtz.t),
z: rtz.z
};
}
};
}
")
})
}
shinyApp(ui, server)
Hi I'm trying to make a server in R shiny, I have the following code:
output$map <- renderTmap( {
cat("renderTmap (initialise map) | ")
if (input$varID == "Temperture") {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayerF(weather,"temp", "feel_like" ,"-RdYlBu", seq(from = 0, to = 45, by = 2))
} else if (input$varID == "humidity") {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayer(weather,"humidity", "YlOrRd", seq(from = 0, to = 100, by = 2))
} else if (input$varID == "Pressure") {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayer(weather,"pressure", "PuBu", seq(from = 980, to = 1030, by = 2))
} else if (input$varID == "Visablity") {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayer(weather,"visib", "-Greys", seq(from = 0, to = 10000, by = 500))
} else if (input$varID == "Wind") {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayerF(weather,"wind_speed","wind_degree", "Greys", seq(from = 0, to = 30, by = 2))
} else {
tm_basemap(c("Esri.OceanBasemap","CartoDB.DarkMatter","OpenStreetMap.Mapnik"),alpha = 0.7) +
weLayerF(weather,"temp", "feel_like" ,"-RdYlBu", seq(from = -10, to = 45, by = 5))
}
})
And I'm getting the error:
Error in .getReactiveEnvironment()$currentContext() :
Operation not allowed without an active reactive context. (You tried to do something that can only be done from inside a reactive expression or observer.)
Can someone help please?
I would love to know if building something like this is possible is RShiny. I have experience with interactive plots/charts using plotly, ggplot and ggplotly but I can't see how to do something like this. I love how the graph engages the user to make a guess and then shows the real data.
If anyone could please point me in the direction of any documentation I will be forever grateful!
https://www.mathematica-mpr.com/dataviz/race-to-the-top
Here is a Shiny implementation of this jsfiddle.
library(shiny)
library(jsonlite)
barChartInput <- function(inputId, width = "100%", height = "400px",
data, category, value, minValue, maxValue,
color = "rgb(208,32,144)"){
tags$div(id = inputId, class = "amchart",
style = sprintf("width: %s; height: %s;", width, height),
`data-data` = as.character(toJSON(data)),
`data-category` = category,
`data-value` = value,
`data-min` = minValue,
`data-max` = maxValue,
`data-color` = color)
}
dat <- data.frame(
country = c("USA", "China", "Japan", "Germany", "UK", "France"),
visits = c(3025, 1882, 1809, 1322, 1122, 1114)
)
ui <- fluidPage(
tags$head(
tags$script(src = "http://www.amcharts.com/lib/4/core.js"),
tags$script(src = "http://www.amcharts.com/lib/4/charts.js"),
tags$script(src = "http://www.amcharts.com/lib/4/themes/animated.js"),
tags$script(src = "barchartBinding.js")
),
fluidRow(
column(8,
barChartInput("mybarchart", data = dat,
category = "country", value = "visits",
minValue = 0, maxValue = 3500)),
column(4,
tags$label("Data:"),
verbatimTextOutput("data"),
br(),
tags$label("Change:"),
verbatimTextOutput("change"))
)
)
server <- function(input, output){
output[["data"]] <- renderPrint({
if(is.null(input[["mybarchart"]])){
dat
}else{
fromJSON(input[["mybarchart"]])
}
})
output[["change"]] <- renderPrint({ input[["mybarchart_change"]] })
}
shinyApp(ui, server)
The file barchartBinding.js, to put in the www subfolder of the app file:
var barchartBinding = new Shiny.InputBinding();
$.extend(barchartBinding, {
find: function (scope) {
return $(scope).find(".amchart");
},
getValue: function (el) {
return null;
},
subscribe: function (el, callback) {
$(el).on("change.barchartBinding", function (e) {
callback();
});
},
unsubscribe: function (el) {
$(el).off(".barchartBinding");
},
initialize: function (el) {
var id = el.getAttribute("id");
var $el = $(el);
var data = $el.data("data");
var dataCopy = $el.data("data");
var categoryName = $el.data("category");
var valueName = $el.data("value");
var minValue = $el.data("min");
var maxValue = $el.data("max");
var barColor = $el.data("color");
am4core.useTheme(am4themes_animated);
var chart = am4core.create(id, am4charts.XYChart);
chart.hiddenState.properties.opacity = 0; // this makes initial fade in effect
chart.data = data;
chart.padding(40, 40, 0, 0);
chart.maskBullets = false; // allow bullets to go out of plot area
var text = chart.plotContainer.createChild(am4core.Label);
text.text = "Drag column bullet to change its value";
text.y = 92;
text.x = am4core.percent(100);
text.horizontalCenter = "right";
text.zIndex = 100;
text.fillOpacity = 0.7;
// category axis
var categoryAxis = chart.xAxes.push(new am4charts.CategoryAxis());
categoryAxis.title.text = categoryName;
categoryAxis.title.fontWeight = "bold";
categoryAxis.dataFields.category = categoryName;
categoryAxis.renderer.grid.template.disabled = true;
categoryAxis.renderer.minGridDistance = 50;
// value axis
var valueAxis = chart.yAxes.push(new am4charts.ValueAxis());
valueAxis.title.text = valueName;
valueAxis.title.fontWeight = "bold";
// we set fixed min/max and strictMinMax to true, as otherwise value axis will adjust min/max while dragging and it won't look smooth
valueAxis.strictMinMax = true;
valueAxis.min = minValue;
valueAxis.max = maxValue;
valueAxis.renderer.minWidth = 60;
// series
var series = chart.series.push(new am4charts.ColumnSeries());
series.dataFields.categoryX = categoryName;
series.dataFields.valueY = valueName;
series.tooltip.pointerOrientation = "vertical";
series.tooltip.dy = -8;
series.sequencedInterpolation = true;
series.defaultState.interpolationDuration = 1500;
series.columns.template.strokeOpacity = 0;
// label bullet
var labelBullet = new am4charts.LabelBullet();
series.bullets.push(labelBullet);
labelBullet.label.text = "{valueY.value.formatNumber('#.')}";
labelBullet.strokeOpacity = 0;
labelBullet.stroke = am4core.color("#dadada");
labelBullet.dy = -20;
// series bullet
var bullet = series.bullets.create();
bullet.stroke = am4core.color("#ffffff");
bullet.strokeWidth = 3;
bullet.opacity = 0; // initially invisible
bullet.defaultState.properties.opacity = 0;
// resize cursor when over
bullet.cursorOverStyle = am4core.MouseCursorStyle.verticalResize;
bullet.draggable = true;
// create hover state
var hoverState = bullet.states.create("hover");
hoverState.properties.opacity = 1; // visible when hovered
// add circle sprite to bullet
var circle = bullet.createChild(am4core.Circle);
circle.radius = 8;
// while dragging
bullet.events.on("drag", event => {
handleDrag(event);
});
bullet.events.on("dragstop", event => {
handleDrag(event);
var dataItem = event.target.dataItem;
dataItem.column.isHover = false;
event.target.isHover = false;
dataCopy[dataItem.index][valueName] = dataItem.values.valueY.value;
Shiny.setInputValue(id, JSON.stringify(dataCopy));
Shiny.setInputValue(id + "_change", {
index: dataItem.index,
category: dataItem.categoryX,
value: dataItem.values.valueY.value
});
});
function handleDrag(event) {
var dataItem = event.target.dataItem;
// convert coordinate to value
var value = valueAxis.yToValue(event.target.pixelY);
// set new value
dataItem.valueY = value;
// make column hover
dataItem.column.isHover = true;
// hide tooltip not to interrupt
dataItem.column.hideTooltip(0);
// make bullet hovered (as it might hide if mouse moves away)
event.target.isHover = true;
}
// column template
var columnTemplate = series.columns.template;
columnTemplate.column.cornerRadiusTopLeft = 8;
columnTemplate.column.cornerRadiusTopRight = 8;
columnTemplate.fillOpacity = 0.8;
columnTemplate.tooltipText = "drag me";
columnTemplate.tooltipY = 0; // otherwise will point to middle of the column
// hover state
var columnHoverState = columnTemplate.column.states.create("hover");
columnHoverState.properties.fillOpacity = 1;
// you can change any property on hover state and it will be animated
columnHoverState.properties.cornerRadiusTopLeft = 35;
columnHoverState.properties.cornerRadiusTopRight = 35;
// show bullet when hovered
columnTemplate.events.on("over", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.isHover = true;
});
// hide bullet when mouse is out
columnTemplate.events.on("out", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.isHover = false;
});
// start dragging bullet even if we hit on column not just a bullet, this will make it more friendly for touch devices
columnTemplate.events.on("down", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.dragStart(event.pointer);
});
// when columns position changes, adjust minX/maxX of bullets so that we could only dragg vertically
columnTemplate.events.on("positionchanged", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
var column = dataItem.column;
itemBullet.minX = column.pixelX + column.pixelWidth / 2;
itemBullet.maxX = itemBullet.minX;
itemBullet.minY = 0;
itemBullet.maxY = chart.seriesContainer.pixelHeight;
});
// as by default columns of the same series are of the same color, we add adapter which takes colors from chart.colors color set
columnTemplate.adapter.add("fill", (fill, target) => {
return barColor; //chart.colors.getIndex(target.dataItem.index).saturate(0.3);
});
bullet.adapter.add("fill", (fill, target) => {
return chart.colors.getIndex(target.dataItem.index).saturate(0.3);
});
}
});
Shiny.inputBindings.register(barchartBinding);
Update
And below is a Shiny implementation of the amcharts4 grouped bar chart.
library(shiny)
library(jsonlite)
registerInputHandler("dataframe", function(data, ...) {
fromJSON(toJSON(data, auto_unbox = TRUE))
}, force = TRUE)
groupedBarChartInput <- function(inputId, width = "100%", height = "400px",
data, categoryField, valueFields,
minValue, maxValue,
ndecimals = 0,
colors = NULL,
categoryLabel = categoryField,
valueLabels = valueFields,
categoryAxisTitle = categoryLabel,
valueAxisTitle = NULL,
categoryAxisTitleFontSize = 22,
valueAxisTitleFontSize = 22,
categoryAxisTitleColor = "indigo",
valueAxisTitleColor = "indigo",
draggable = rep(FALSE, length(valueFields))){
tags$div(id = inputId, class = "amGroupedBarChart",
style = sprintf("width: %s; height: %s;", width, height),
`data-data` = as.character(toJSON(data)),
`data-categoryfield` = categoryField,
`data-valuefields` = as.character(toJSON(valueFields)),
`data-min` = minValue,
`data-max` = maxValue,
`data-ndecimals` = ndecimals,
`data-colors` = ifelse(is.null(colors), "auto", as.character(toJSON(colors))),
`data-valuenames` = as.character(toJSON(valueLabels)),
`data-categoryname` = categoryLabel,
`data-categoryaxistitle` = categoryAxisTitle,
`data-valueaxistitle` = valueAxisTitle,
`data-draggable` = as.character(toJSON(draggable)),
`data-categoryaxistitlefontsize` = categoryAxisTitleFontSize,
`data-valueaxistitlefontsize` = valueAxisTitleFontSize,
`data-categoryaxistitlecolor` = categoryAxisTitleColor,
`data-valueaxistitlecolor` = valueAxisTitleColor)
}
set.seed(666)
dat <- data.frame(
year = rpois(5, 2010),
income = rpois(5, 25),
expenses = rpois(5, 20)
)
ui <- fluidPage(
tags$head(
tags$script(src = "http://www.amcharts.com/lib/4/core.js"),
tags$script(src = "http://www.amcharts.com/lib/4/charts.js"),
tags$script(src = "http://www.amcharts.com/lib/4/themes/animated.js"),
tags$script(src = "groupedBarChartBinding.js")
),
fluidRow(
column(8,
groupedBarChartInput("mybarchart", data = dat[order(dat$year),],
categoryField = "year",
valueFields = c("income", "expenses"),
categoryLabel = "Year",
valueLabels = c("Income", "Expenses"),
valueAxisTitle = "Income and expenses",
minValue = 0, maxValue = 35,
draggable = c(FALSE, TRUE),
colors = c("darkmagenta","darkred"))),
column(4,
tags$label("Data:"),
verbatimTextOutput("data"),
br(),
tags$label("Change:"),
verbatimTextOutput("change"))
)
)
server <- function(input, output){
output[["data"]] <- renderPrint({
input[["mybarchart"]]
})
output[["change"]] <- renderPrint({ input[["mybarchart_change"]] })
}
shinyApp(ui, server)
The file groupedBarChartBinding.js, to put in the www subfolder:
var groupedBarChartBinding = new Shiny.InputBinding();
$.extend(groupedBarChartBinding, {
find: function(scope) {
return $(scope).find(".amGroupedBarChart");
},
getValue: function(el) {
return $(el).data("data");
},
getType: function(el) {
return "dataframe";
},
subscribe: function(el, callback) {
$(el).on("change.groupedBarChartBinding", function(e) {
callback();
});
},
unsubscribe: function(el) {
$(el).off(".groupedBarChartBinding");
},
initialize: function(el) {
var id = el.getAttribute("id");
var $el = $(el);
var data = $el.data("data");
var dataCopy = $el.data("data");
var categoryField = $el.data("categoryfield");
var valueFields = $el.data("valuefields");
var minValue = $el.data("min");
var maxValue = $el.data("max");
var colors = $el.data("colors");
var valueNames = $el.data("valuenames");
var categoryName = $el.data("categoryname");
var categoryAxisTitle = $el.data("categoryaxistitle");
var valueAxisTitle = $el.data("valueaxistitle");
var draggable = $el.data("draggable");
var ndecimals = $el.data("ndecimals");
var numberFormat = "#.";
for (var i = 0; i < ndecimals; i++) {
numberFormat = numberFormat + "#";
}
var categoryAxisTitleFontSize = $el.data("categoryaxistitlefontsize") + "px";
var valueAxisTitleFontSize = $el.data("valueaxistitlefontsize") + "px";
var categoryAxisTitleColor = $el.data("categoryaxistitlecolor");
var valueAxisTitleColor = $el.data("valueaxistitlecolor");
am4core.useTheme(am4themes_animated);
var chart = am4core.create(id, am4charts.XYChart);
chart.hiddenState.properties.opacity = 0; // this makes initial fade in effect
chart.data = data;
chart.padding(40, 40, 40, 40);
chart.maskBullets = false; // allow bullets to go out of plot area
// Create axes
var categoryAxis = chart.yAxes.push(new am4charts.CategoryAxis());
categoryAxis.dataFields.category = categoryField;
categoryAxis.numberFormatter.numberFormat = numberFormat;
categoryAxis.renderer.inversed = true;
categoryAxis.renderer.grid.template.location = 0;
categoryAxis.renderer.cellStartLocation = 0.1;
categoryAxis.renderer.cellEndLocation = 0.9;
categoryAxis.title.text = categoryAxisTitle;
categoryAxis.title.fontWeight = "bold";
categoryAxis.title.fontSize = categoryAxisTitleFontSize;
categoryAxis.title.setFill(categoryAxisTitleColor);
var valueAxis = chart.xAxes.push(new am4charts.ValueAxis());
valueAxis.renderer.opposite = true;
valueAxis.strictMinMax = true;
valueAxis.min = minValue;
valueAxis.max = maxValue;
if (valueAxisTitle !== null) {
valueAxis.title.text = valueAxisTitle;
valueAxis.title.fontWeight = "bold";
valueAxis.title.fontSize = valueAxisTitleFontSize;
valueAxis.title.setFill(valueAxisTitleColor);
}
function handleDrag(event) {
var dataItem = event.target.dataItem;
// convert coordinate to value
var value = valueAxis.xToValue(event.target.pixelX);
// set new value
dataItem.valueX = value;
// make column hover
dataItem.column.isHover = true;
// hide tooltip not to interrupt
dataItem.column.hideTooltip(0);
// make bullet hovered (as it might hide if mouse moves away)
event.target.isHover = true;
}
// Create series
function createSeries(field, name, barColor, drag) {
var series = chart.series.push(new am4charts.ColumnSeries());
series.dataFields.valueX = field;
series.dataFields.categoryY = categoryField;
series.name = name;
series.sequencedInterpolation = true;
var valueLabel = series.bullets.push(new am4charts.LabelBullet());
valueLabel.label.text = "{valueX}";
valueLabel.label.horizontalCenter = "left";
valueLabel.label.dx = 10;
valueLabel.label.hideOversized = false;
valueLabel.label.truncate = false;
var categoryLabel = series.bullets.push(new am4charts.LabelBullet());
categoryLabel.label.text = "{name}";
categoryLabel.label.horizontalCenter = "right";
categoryLabel.label.dx = -10;
categoryLabel.label.fill = am4core.color("#fff");
categoryLabel.label.hideOversized = false;
categoryLabel.label.truncate = false;
// column template
var columnTemplate = series.columns.template;
console.log(columnTemplate);
// columnTemplate.tooltipText = "{name}: [bold]{valueX}[/]";
columnTemplate.tooltipHTML =
"<div style='font-size:9px'>" + "{name}" + ": " + "<b>{valueX}</b>" + "</div>";
columnTemplate.height = am4core.percent(100);
columnTemplate.column.cornerRadiusBottomRight = 8;
columnTemplate.column.cornerRadiusTopRight = 8;
columnTemplate.fillOpacity = 1;
columnTemplate.tooltipX = 0; // otherwise will point to middle of the column
// hover state
var columnHoverState = columnTemplate.column.states.create("hover");
columnHoverState.properties.fillOpacity = 1;
// you can change any property on hover state and it will be animated
columnHoverState.properties.cornerRadiusBottomRight = 35;
columnHoverState.properties.cornerRadiusTopRight = 35;
// color
if (barColor !== false) {
columnTemplate.adapter.add("fill", (fill, target) => {
return barColor;
});
}
if (drag) {
// series bullet
var bullet = series.bullets.create();
bullet.stroke = am4core.color("#ffffff");
bullet.strokeWidth = 1;
bullet.opacity = 0; // initially invisible
bullet.defaultState.properties.opacity = 0;
// resize cursor when over
bullet.cursorOverStyle = am4core.MouseCursorStyle.horizontalResize;
bullet.draggable = true;
// create hover state
var hoverState = bullet.states.create("hover");
hoverState.properties.opacity = 1; // visible when hovered
// add circle sprite to bullet
var circle = bullet.createChild(am4core.Circle);
circle.radius = 5;
// dragging
// while dragging
bullet.events.on("drag", event => {
handleDrag(event);
});
bullet.events.on("dragstop", event => {
handleDrag(event);
var dataItem = event.target.dataItem;
dataItem.column.isHover = false;
event.target.isHover = false;
dataCopy[dataItem.index][field] = dataItem.values.valueX.value;
Shiny.setInputValue(id + ":dataframe", dataCopy);
Shiny.setInputValue(id + "_change", {
index: dataItem.index,
field: field,
category: dataItem.categoryY,
value: dataItem.values.valueX.value
});
});
// bullet color
if (barColor !== false) {
bullet.adapter.add("fill", (fill, target) => {
return barColor;
});
}
// show bullet when hovered
columnTemplate.events.on("over", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.isHover = true;
});
// hide bullet when mouse is out
columnTemplate.events.on("out", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.isHover = false;
});
// start dragging bullet even if we hit on column not just a bullet, this will make it more friendly for touch devices
columnTemplate.events.on("down", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
itemBullet.dragStart(event.pointer);
});
// when columns position changes, adjust minY/maxY of bullets so that we could only dragg horizontally
columnTemplate.events.on("positionchanged", event => {
var dataItem = event.target.dataItem;
var itemBullet = dataItem.bullets.getKey(bullet.uid);
var column = dataItem.column;
itemBullet.minY = column.pixelY + column.pixelHeight / 2;
itemBullet.maxY = itemBullet.minY;
itemBullet.minX = 0;
itemBullet.maxX = chart.seriesContainer.pixelWidth;
});
}
}
for (var i = 0; i < valueFields.length; i++) {
var color = colors === "auto" ? null : colors[i];
createSeries(valueFields[i], valueNames[i], color, draggable[i]);
}
}
});
Shiny.inputBindings.register(groupedBarChartBinding);
Update 2
I have done a package now : shinyAmBarCharts. I have added a button (optional) allowing to update the data to another dataset. This fulfills the OP's desideratum:
the graph engages the user to make a guess and then shows the real
data
library(shiny)
library(shinyAmBarCharts)
# create a dataset
set.seed(666)
df0 <- data.frame(
species = rep(c("sorgho","poacee","banana"), each = 3),
condition = rep(c("normal", "stress", "Nitrogen"), 3),
value = rpois(9, 10)
)
df1 <- df0; df1[["value"]] <- 10
dat <- tidyr::spread(df0, condition, value) # true data
dat2 <- tidyr::spread(df1, condition, value) # data template
# grouped bar chart
ui <- fluidPage(
br(),
fluidRow(
column(9,
amBarChart(
"mygroupedbarchart", data = dat2, data2 = dat, height = "400px",
category = "species", value = c("normal", "stress", "Nitrogen"),
valueNames = c("Normal", "Stress", "Nitrogen"),
minValue = 0, maxValue = 20,
draggable = c(TRUE, TRUE, TRUE),
theme = "dark", backgroundColor = "#30303d",
columnStyle = list(fill = c("darkmagenta", "darkred", "gold"),
stroke = "#cccccc",
cornerRadius = 4),
chartTitle = list(text = "Grouped bar chart",
fontSize = 23,
color = "firebrick"),
xAxis = list(title = list(text = "Species",
fontSize = 21,
color = "silver"),
labels = list(color = "whitesmoke",
fontSize = 17)),
yAxis = list(title = list(text = "Value",
fontSize = 21,
color = "silver"),
labels = list(color = "whitesmoke",
fontSize = 14)),
columnWidth = 90,
button = list(text = "Show true data"),
caption = list(text = "[font-style:italic]shinyAmBarCharts[/]",
color = "yellow"),
gridLines = list(color = "whitesmoke",
opacity = 0.4,
width = 1),
tooltip = list(text = "[bold;font-style:italic]{name}: {valueY}[/]",
labelColor = "#101010",
backgroundColor = "cyan",
backgroundOpacity = 0.7)
)
),
column(3,
tags$label("Data:"),
verbatimTextOutput("data"),
br(),
tags$label("Change:"),
verbatimTextOutput("change"))
)
)
server <- function(input, output){
output[["data"]] <- renderPrint({
input[["mygroupedbarchart"]]
})
output[["change"]] <- renderPrint({ input[["mygroupedbarchart_change"]] })
}
shinyApp(ui, server)
I know this has already been answered in JS but I was hoping for a solution using highcharter in R. Highcharts - drill down to multiple series
I'm new to JS and also not that familiar with the highcharter library in R so any help would be greatly appreciated. The following code compiles but as the code is more experimental than anything it does not allow me to drill down to a multi- series chart as hoped.
DATABrowser = list(list(y= 55.11
,drilldown = list(
name = 'MSIE versions',
categories = list('MSIE 6.0', 'MSIE 7.0', 'MSIE 8.0',
'MSIE 9.0'),
series = list(list(
type = 'spline',
name = 'MSIE versions 2000',
data = list(10.85, 7.35, 33.06, 2.81)
),list(
type = 'spline',
name = 'MSIE versions 2010',
data = list (1, 5, 10, 15)
))
)),list(y = 21.6),list(y = 11.6),list(y = 7.3),list(y =
2.6)
)
categories = list('MSIE', 'Firefox', 'Chrome', 'Safari', 'Opera')
name = 'Browser brands'
fn <-"function () {
var drilldown = this.drilldown;
var len = chart.series.length;
var name = null, catergories = drilldown.categories, data = drilldown, type
=drilldown.type;
chart.xAxis[0].setCategories(categories);
for(var i = 0; i < len; i++){
chart.series[0].remove();
}
if(data.series){
for( i = 0; i < data.series.length; i ++ ){
chart.addSeries({
name: data.series[i].name,
data: data.series[i].data,
type: data.series[i].type,
});
}
} else {
chart.addSeries({
name: name,
data: data,
type: type,
});
}
}
"
hc = highchart() %>%
hc_chart(type = "column") %>%
hc_title(text = "Basic Drilldown Big Bossing") %>%
hc_xAxis(categories = categories) %>%
hc_add_series(
name = name
,data = DATABrowser
) %>% hc_plotOptions(
column = list(
# allowPointSelect = TRUE,
cursor = "pointer",
point = list(
events = list(
click = JS(fn)
)
)
)
)
hc
The JS function returns an error
chart is undefined
Indeed we don't have access to the chart from the click event, but we can retrive it with:
var chart = Highcharts.charts[0]
So putting that inside the JS, together with some typo fix gives us:
fn <-"function () {
var chart = Highcharts.charts[0];
var drilldown = this.drilldown;
var len = chart.series.length;
var name = null,
categories = drilldown.categories,
data = drilldown,
type = drilldown.type;
chart.xAxis[0].setCategories(categories);
for(var i = 0; i < len; i++){
chart.series[0].remove();
}
if(data.series){
for( i = 0; i < data.series.length; i ++ ){
chart.addSeries({
name: data.series[i].name,
data: data.series[i].data,
type: data.series[i].type,
});
}
} else {
chart.addSeries({
name: name,
data: data,
type: type,
});
}
}
"
Giving us:
library(highcharter)
highchart() %>%
hc_chart(type = "column") %>%
hc_title(text = "Basic Drilldown Big Bossing") %>%
hc_xAxis(categories = categories) %>%
hc_add_series(
name = name
,data = DATABrowser
) %>% hc_plotOptions(
column = list(
# allowPointSelect = TRUE,
cursor = "pointer",
point = list(
events = list(
click = JS(fn)
)
)
)
)