ggiraph 交互式图可以是 R shiny 中 window 的大小吗?
Can a ggiraph interactive plot be the size of the window in R shiny?
我正在创建一个以 ggiraph 中绘制的网络为中心的 RShiny 应用程序。该网络非常庞大且详细,因此理想情况下我希望它能尽可能多地填充页面。
我在让 ggiraph 正确缩放时遇到了很多问题,在 RShiny 中 margins/padding 也遇到了很多问题。我已经用代码走了这么远,但它仍然留下了大量的空白
library(tidyverse)
library(ggiraph)
dt <-
structure(list(vName = c("Travel (people, not goods)", "Distribution of goods (logistics)",
"Financial services", "Emergency services", "Employment provision",
"Road conditions and safety", "Clothing provision", "Physical security",
"Goods and services provision", "Observance of religion", "Tourism",
"Social interaction", "Societal hazard regulation", "Law and order",
"Foster social cohesion", "Governance", "Community activities and engagement",
"Communication systems", "Housing provision", "Learning and education",
"Technological hazard regulation", "Recreational activities",
"Ceremonies and services for major life events", "Public health",
"Biological hazard regulation", "Historical and cultural value contribution",
"Animal welfare", "Planning activities", "Food provision", "Waste management",
"Energy supply", "Sanitation provision", "Hydrometeorological hazard regulation",
"Environmental and geohazard regulation", "Clean water", "Environmental conservation",
"Clean air"), x = c(-2.98858409427524, -2.81640877118298, -2.74123849093864,
-2.65386726001767, -2.28398121105892, -2.14920295612388, -2.00485883548675,
-1.8515913089343, -1.69008255335043, -1.521051426422, -1.34525026708241,
-1.08643400771279, -0.897560522159429, -0.704692093555197, -0.508687158038456,
-0.310418111994458, -0.110767429115102, 0.0893762673942864, 0.28912215997901,
0.487581201665836, 0.683870073113174, 0.87711511416821, 1.06645621243203,
1.25105063152523, 1.4300767620147, 1.74479084369789, 1.90363064894277,
2.05399760378407, 2.19522244146318, 2.32667658577832, 2.44777494880796,
2.55797853507279, 2.65679684054522, 2.75437446946491, 2.92721942501146,
2.96449908915101, 2.98858409427524), y = c(-0.261467228242974,
-1.03336423085163, -1.21885665104493, -1.39892407449664, -1.94510406598975,
-2.09306632799546, -2.23171258224949, -2.36042572954096, -2.47863288182427,
-2.58580791208079, -2.68147379605222, -2.79636570335232, -2.86258364228207,
-2.91606053662828, -2.95655836662271, -2.98389688088342, -2.99795439869375,
-2.99866835158986, -2.98603556184602, -2.96011225661834, -2.92101381768388,
-2.86891426788911, -2.80404549659329, -2.72669622755457, -2.63721073385225,
-2.44043129625646, -2.31866132766425, -2.18657125281782, -2.04474899009546,
-1.89382577477205, -1.73447334946035, -1.56740097425861, -1.393352269912,
-1.18887395545529, -0.65680015060565, -0.460157745151427, -0.261467228242978
)), class = "data.frame", row.names = c(NA, -37L))
ui <-
fillPage(
tags$body(tags$div(id="ppitest", style="width:1in;visible:hidden;padding:0px")),
tags$script('$(document).on("shiny:connected", function(e) {
var w = window.innerWidth;
var h = window.innerHeight;
var d = document.getElementById("ppitest").offsetWidth;
var obj = {width: w, height: h, dpi: d};
Shiny.onInputChange("pltChange", obj);
});
$(window).resize(function(e) {
var w = $(this).width();
var h = $(this).height();
var d = document.getElementById("ppitest").offsetWidth;
var obj = {width: w, height: h, dpi: d};
Shiny.onInputChange("pltChange", obj);
});
'),
girafeOutput("plot")
)
server <- function(input, output, session) {
output$plot <- renderGirafe({
myPlot <-
dt %>%
ggplot() +
geom_point_interactive(aes(x = x, y = y, tooltip = vName)) +
coord_equal() +
theme_void()
return(girafe(code = print(myPlot),
width_svg = (1.0*input$pltChange$width/input$pltChange$dpi),
height_svg = (1.0*input$pltChange$height/input$pltChange$dpi)))
})
}
shinyApp(ui, server)
在我看来你想停止重新缩放。参见 https://davidgohel.github.io/ggiraph/articles/offcran/customizing.html#size-options-1
server <- function(input, output, session) {
output$plot <- renderGirafe({
myPlot <-
dt %>%
ggplot() +
geom_point_interactive(aes(x = x, y = y, tooltip = vName)) +
coord_equal() +
theme_void()
return(girafe(
code = print(myPlot),
options = list(opts_sizing(rescale = FALSE)),
width_svg = (1.0 * input$pltChange$width / input$pltChange$dpi),
height_svg = (1.0 * input$pltChange$height / input$pltChange$dpi)
))
})
}
我正在创建一个以 ggiraph 中绘制的网络为中心的 RShiny 应用程序。该网络非常庞大且详细,因此理想情况下我希望它能尽可能多地填充页面。
我在让 ggiraph 正确缩放时遇到了很多问题,在 RShiny 中 margins/padding 也遇到了很多问题。我已经用代码走了这么远,但它仍然留下了大量的空白
library(tidyverse)
library(ggiraph)
dt <-
structure(list(vName = c("Travel (people, not goods)", "Distribution of goods (logistics)",
"Financial services", "Emergency services", "Employment provision",
"Road conditions and safety", "Clothing provision", "Physical security",
"Goods and services provision", "Observance of religion", "Tourism",
"Social interaction", "Societal hazard regulation", "Law and order",
"Foster social cohesion", "Governance", "Community activities and engagement",
"Communication systems", "Housing provision", "Learning and education",
"Technological hazard regulation", "Recreational activities",
"Ceremonies and services for major life events", "Public health",
"Biological hazard regulation", "Historical and cultural value contribution",
"Animal welfare", "Planning activities", "Food provision", "Waste management",
"Energy supply", "Sanitation provision", "Hydrometeorological hazard regulation",
"Environmental and geohazard regulation", "Clean water", "Environmental conservation",
"Clean air"), x = c(-2.98858409427524, -2.81640877118298, -2.74123849093864,
-2.65386726001767, -2.28398121105892, -2.14920295612388, -2.00485883548675,
-1.8515913089343, -1.69008255335043, -1.521051426422, -1.34525026708241,
-1.08643400771279, -0.897560522159429, -0.704692093555197, -0.508687158038456,
-0.310418111994458, -0.110767429115102, 0.0893762673942864, 0.28912215997901,
0.487581201665836, 0.683870073113174, 0.87711511416821, 1.06645621243203,
1.25105063152523, 1.4300767620147, 1.74479084369789, 1.90363064894277,
2.05399760378407, 2.19522244146318, 2.32667658577832, 2.44777494880796,
2.55797853507279, 2.65679684054522, 2.75437446946491, 2.92721942501146,
2.96449908915101, 2.98858409427524), y = c(-0.261467228242974,
-1.03336423085163, -1.21885665104493, -1.39892407449664, -1.94510406598975,
-2.09306632799546, -2.23171258224949, -2.36042572954096, -2.47863288182427,
-2.58580791208079, -2.68147379605222, -2.79636570335232, -2.86258364228207,
-2.91606053662828, -2.95655836662271, -2.98389688088342, -2.99795439869375,
-2.99866835158986, -2.98603556184602, -2.96011225661834, -2.92101381768388,
-2.86891426788911, -2.80404549659329, -2.72669622755457, -2.63721073385225,
-2.44043129625646, -2.31866132766425, -2.18657125281782, -2.04474899009546,
-1.89382577477205, -1.73447334946035, -1.56740097425861, -1.393352269912,
-1.18887395545529, -0.65680015060565, -0.460157745151427, -0.261467228242978
)), class = "data.frame", row.names = c(NA, -37L))
ui <-
fillPage(
tags$body(tags$div(id="ppitest", style="width:1in;visible:hidden;padding:0px")),
tags$script('$(document).on("shiny:connected", function(e) {
var w = window.innerWidth;
var h = window.innerHeight;
var d = document.getElementById("ppitest").offsetWidth;
var obj = {width: w, height: h, dpi: d};
Shiny.onInputChange("pltChange", obj);
});
$(window).resize(function(e) {
var w = $(this).width();
var h = $(this).height();
var d = document.getElementById("ppitest").offsetWidth;
var obj = {width: w, height: h, dpi: d};
Shiny.onInputChange("pltChange", obj);
});
'),
girafeOutput("plot")
)
server <- function(input, output, session) {
output$plot <- renderGirafe({
myPlot <-
dt %>%
ggplot() +
geom_point_interactive(aes(x = x, y = y, tooltip = vName)) +
coord_equal() +
theme_void()
return(girafe(code = print(myPlot),
width_svg = (1.0*input$pltChange$width/input$pltChange$dpi),
height_svg = (1.0*input$pltChange$height/input$pltChange$dpi)))
})
}
shinyApp(ui, server)
在我看来你想停止重新缩放。参见 https://davidgohel.github.io/ggiraph/articles/offcran/customizing.html#size-options-1
server <- function(input, output, session) {
output$plot <- renderGirafe({
myPlot <-
dt %>%
ggplot() +
geom_point_interactive(aes(x = x, y = y, tooltip = vName)) +
coord_equal() +
theme_void()
return(girafe(
code = print(myPlot),
options = list(opts_sizing(rescale = FALSE)),
width_svg = (1.0 * input$pltChange$width / input$pltChange$dpi),
height_svg = (1.0 * input$pltChange$height / input$pltChange$dpi)
))
})
}