我希望能够在闪亮的高潮图中隐藏/展示系列。我希望获得与单击图例但单击按钮时获得的相同的平滑更改。
我希望能够在闪亮的应用中重现this行为。
我的代码到目前为止。
library(shiny)
library(shinydashboard)
library(highcharter)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
shinyWidgets::materialSwitch(
inputId = "button",
label = "Button",
value = FALSE
),
div(id = "plotid", highchartOutput(outputId = "plot"))
)
)
server <- function(input, output, session){
output$plot <- renderHighchart({
data_plot <- data.frame(source = c("display", "email", "search", "natural"),
serie1 = c(1563, 1458, 205, 695),
serie2 = c(562, 258, 17, 115))
highchart() %>%
hc_chart(
type = 'bar'
) %>%
hc_add_series(
data = data_plot$serie1,
name = 'Serie 1'
) %>%
hc_add_series(
data = data_plot$serie2,
name = 'Serie 2'
) %>%
hc_xAxis(
categories = data_plot$source,
title = list(text = 'Source')
) %>%
hc_plotOptions(bar = list(stacking = 'normal'))
})
}
shinyApp(ui = ui, server = server)
我不知道javascript,我无法找到一种方法来获得我想要的东西。
我试图获取图表对象以应用上面链接中给出的代码,但我不能。现在我只知道在使用
点击按钮时如何触发tags$script('document.getElementById("button").onclick = function() {
\\ some code
}'
)
非常感谢你的帮助。
我的会话信息:
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=French_France.1252 LC_CTYPE=French_France.1252 LC_MONETARY=French_France.1252
[4] LC_NUMERIC=C LC_TIME=French_France.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] highcharter_0.5.0 shinydashboard_0.5.1 shiny_1.0.3
loaded via a namespace (and not attached):
[1] Rcpp_0.12.10 compiler_3.4.1 plyr_1.8.4 bindr_0.1 xts_0.9-7
[6] tools_3.4.1 digest_0.6.12 jsonlite_1.3 lubridate_1.6.0 tibble_1.3.3
[11] nlme_3.1-131 lattice_0.20-35 pkgconfig_2.0.1 rlang_0.1.1 psych_1.7.3.21
[16] igraph_1.0.1 parallel_3.4.1 bindrcpp_0.2 dplyr_0.7.2 stringr_1.2.0
[21] htmlwidgets_0.8 grid_3.4.1 data.table_1.10.4 glue_1.1.1 R6_2.2.0
[26] foreign_0.8-69 TTR_0.23-1 reshape2_1.4.2 tidyr_0.6.1 purrr_0.2.2.2
[31] magrittr_1.5 htmltools_0.3.5 rlist_0.4.6.1 assertthat_0.1 quantmod_0.4-7
[36] mnormt_1.5-5 mime_0.5 xtable_1.8-2 httpuv_1.3.3 stringi_1.1.3
[41] broom_0.4.2 zoo_1.7-14
编辑:
为了澄清这个问题,当点击按钮时,我希望隐藏情节的第一个系列,就像点击图例项目“Serie 1”时那样。我不想重新投降。
编辑2:
将visible = input$button
添加到hc_add_serie
是我从我想要的最接近但它仍然不完全相同。我真的在寻找单击图例时出现的相同的平滑/漂亮动画。
答案 0 :(得分:2)
经过一些试验和错误后,我发现了一些使用javascript的解决方案。
以下是代码:
library('shiny')
library('shinydashboard')
library('highcharter')
library('shinyjs')
jsCode <- "
shinyjs.toggleSerie = function(params) {
var serieToToggle = $('#plot').highcharts().get('idserie');
if(serieToToggle.visible){
serieToToggle.setVisible(false);
}
else {
serieToToggle.setVisible(true);
}
}
"
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
extendShinyjs(text = jsCode),
shinyWidgets::materialSwitch(
inputId = "button",
label = "Button",
value = FALSE
),
highchartOutput(outputId = "plot")
)
)
server <- function(input, output, session){
output$plot <- renderHighchart({
data_plot <- data.frame(categories = c("A", "B", "C", "D"),
serie1 = c(1563, 1458, 205, 695),
serie2 = c(562, 258, 17, 115))
highchart() %>%
hc_chart(
type = 'bar'
) %>%
hc_add_series(
data = data_plot$serie1,
name = 'Serie to hide/show',
id = 'idserie'
) %>%
hc_add_series(
data = data_plot$serie2,
name = 'Serie 2'
) %>%
hc_xAxis(
categories = data_plot$categories,
title = list(text = 'Categories')
) %>%
hc_plotOptions(bar = list(stacking = 'normal'))
})
onclick(id = "button", expr = {
js$toggleSerie()
})
session$onSessionEnded(stopApp)
}
shinyApp(ui = ui, server = server)
它提供了所需的行为。
答案 1 :(得分:0)
您可以使用shinyjs
,例如:
library(shiny)
library(shinydashboard)
library(highcharter)
library(shinyjs)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
shinyWidgets::materialSwitch(
inputId = "hide",
label = "Button",
value = FALSE
),
div(id = "plotid", highchartOutput(outputId = "plot2"))
)
)
server <- function(input, output, session){
observeEvent(input$hide,{
toggle("plot2")
})
output$plot2 <- renderHighchart({
data_plot <- data.frame(source = c("display", "email", "search", "natural"),
serie1 = c(1563, 1458, 205, 695),
serie2 = c(562, 258, 17, 115))
highchart() %>%
hc_chart(
type = 'bar'
) %>%
hc_add_series(
data = data_plot$serie1,
name = 'Serie 1'
) %>%
hc_add_series(
data = data_plot$serie2,
name = 'Serie 2'
) %>%
hc_xAxis(
categories = data_plot$source,
title = list(text = 'Source')
) %>%
hc_plotOptions(bar = list(stacking = 'normal'))
})
}
shinyApp(ui = ui, server = server)
编辑:将个性系列用于传奇:
library(shiny)
library(shinydashboard)
library(highcharter)
library(shinyjs)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
useShinyjs(),
shinyWidgets::materialSwitch(
inputId = "hide",
label = "Button",
value = FALSE
),
div(id = "plotid", highchartOutput(outputId = "plot2"))
)
)
server <- function(input, output, session){
observeEvent(input$hide,{
toggle("plot2")
})
output$plot2 <- renderHighchart({
data_plot <- data.frame(source = c("display", "email", "search", "natural"),
serie1 = c(1563, 1458, 205, 695),
serie2 = c(562, 258, 17, 115))
highchart() %>%
hc_chart(
type = 'bar'
) %>%
hc_add_series(
data = data_plot$serie1,
name = 'Serie 1'
) %>%
hc_add_series(
data = data_plot$serie2,
name = 'Serie 2'
) %>%
hc_xAxis(
categories = data_plot$source,
title = list(text = 'Source')
) %>%
hc_plotOptions(bar = list(stacking = 'normal')) %>%
hc_legend(align = "left", verticalAlign = "top",
layout = "vertical", x = 0, y = 100)
})
}
shinyApp(ui = ui, server = server)