这是前一个问题here的修改版本
在这个应用程序(更好地反映我的真实应用程序)中发生以下情况:
我有2套情节,
- 一组的2个图显示相同的迹线,只绘制不同的列
- 每个情节都在我的应用程序的不同页面上
- 这两个图应该链接到第1页上的一组colourInputs
- 使用colourInputs
* 1在服务器中构建renderUI
* 1:因此,我相信p %>% onRender(js)
方法不会像我之前在THIS问题中看到的YNbuttons
那样有效
目标:如果colourInput
'COL_button_plot1_plot2_N'
改变 - >在color
和trace
改变N-1
plot1
(* 2)的plot2
* 2:跟踪数字为0-n,
运行,因此colourinput nr -1
我更改了colorInputs的命名代码,以包含它们应该定位的两个图的名称:
COLElement_1 <- function(idx){sprintf("COL_button_plot1_plot2_%d",idx)}
我怀疑我们需要onclick = "toggleColor(this.id)")
附加在colourInput
而不是onRender()
plot
由于renderUI()
的uiOutput()
colourInputs
到目前为止,我设计了一个javascript的尝试,抓取2个绘图ID和数据,并在其中具有restyle功能,但我坚持如何让它在应用程序中按预期工作。这可能至少有助于实现这个想法。
jscolor <- c(
"function toggleColor(id){",
" var color = this.value;", # get the color of the colourpicker
" var ids = id.split('_');", # split the ids
" var plotAid = ids[2];", #get the id of plotA (plot1 or 3)
" var plotBid = ids[3];", #get the id of plotB (plot2 or 4)
" var index = parseInt(ids[4]) -1;", #get the trace number to target
" var plotA = document.getElementById(plot1id);", #get the plot element
" var dataA = plotA.data;", #access the plot data
" var markerA = dataA[index].marker;", #access the plot's markers
" markerA.color = color;", # set the marker color
" Plotly.restyle(plotA, {marker: markerA}, [index]);", #restyle plotA
" var plotB = document.getElementById(plotBid);", # repeat steps for plot2
" var dataB = plotB.data;",
" var markerB = dataB[index].marker;",
" markerB.color = color;",
" Plotly.restyle(plotB, {marker: markerB}, [index]);",
" });"
)
测试APP:
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
# jscolor <- c(......)
ui <- fluidPage(
tags$head(
tags$script(HTML(jscolor)) ## to add the javascript to the app
),
fluidRow(
column(4,plotlyOutput("plot1")),
column(4,plotlyOutput("plot2")),
column(4,uiOutput('buttons_color_1')
)
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(4,uiOutput('buttons_color_2'))
)
)
server <- function(input, output, session) {
#functions to make colorinput IDs
COLElement_1 <- function(idx){sprintf("COL_button_plot1_plot2_%d",idx)}
COLElement_2 <- function(idx){sprintf("COL_button_plot3_plot4_%d",idx)}
TheColors <- c('#383838', '#5b195b','#1A237E', '#000080', '#224D17', '#cccc00', '#b37400', '#990000',
'#505050', '#a02ca0', '#000099', '#2645e0', '#099441', '#e5e500', '#cc8400', '#cc0000',
'#737373', '#e53fe5', '#0000FF', '#4479e1', '#60A830', '#ffff00','#e69500', '#ff0000',
'#b2b2b2', '#eb6ceb', '#6666ff', '#d0a3ff', '#9FDA40', '#ffff7f', '#ffa500', '#ff4c4c',
'#d9d9d9', '#f198f1', '#C5CAE9','#BBDEFB','#D9DF1D', '#ffffcc','#ffc04d', '#ff9999')
values <- reactiveValues(colors1 = TheColors, colors2 = sort(TheColors))
lapply(c(1:2), function(i) {
output[[paste('buttons_color_', i,sep = '')]] <- renderUI({
isolate({ lapply(1:3, function(x) { ## 3 in my app changes based on clustering output of my model
Idname <- if(i == 1) { COLElement_1(x) } else {COLElement_2(x) }
div(colourpicker::colourInput(inputId = Idname, label = NULL,
palette = "limited", allowedCols = TheColors,
value = values[[paste('colors', i, sep = '')]][x],
showColour = "background", returnName = TRUE),
style = " height: 30px; width: 30px; border-radius: 6px; border-width: 2px; text-align:center; padding: 0px; display:block; margin: 10px",
onclick = "toggleColor(this.id)")
})
})})
outputOptions(output, paste('buttons_color_', i,sep = ''), suspendWhenHidden=FALSE)
})
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- input[[paste('markersize', THEPLOT, sep = '_')]]
markerlegendsize <- input[[paste('legendsize', THEPLOT, sep = '_')]]
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
p
}
output$plot1 <- renderPlotly({ myplotly('plot1', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
更新的应用程序:得到了解决方案的工作解决方案,但是当我开始更改绘图名称时,它会中断。在这里,我将'plot1'的所有引用更改为plotx。
library(plotly)
library(shiny)
library(colourpicker)
library(htmlwidgets)
jscolor <- c(
"function toggleColor(id){",
" var color = document.getElementById(id).value;", # get the color of the colourpicker
" var ids = id.split('_');", # split the ids
" var plotAid = ids[2];", #get the id of plotA (plotx or 3)
" var plotBid = ids[3];", #get the id of plotB (plot2 or 4)
" var index = parseInt(ids[4]) -1;", #get the trace number to target
" var plotA = document.getElementById(plotAid);", #get the plot element
" var dataA = plotA.data;", #access the plot data
" var markerA = dataA[index].marker;", #access the plot's markers
" markerA.color = color;", # set the marker color
" Plotly.restyle(plotA, {marker: markerA}, [index]);", #restyle plotA
" var plotB = document.getElementById(plotBid);", # repeat steps for plot2
" var dataB = plotB.data;",
" var markerB = dataB[index].marker;",
" markerB.color = color;",
" Plotly.restyle(plotB, {marker: markerB}, [index]);",
"};"
)
colourInput2 <- function(inputId, label, value = "white",
showColour = c("both", "text", "background"),
palette = c("square", "limited"), allowedCols = NULL,
allowTransparent = FALSE, returnName = FALSE,
onchange){
input <- colourInput(inputId, label, value, showColour, palette,
allowedCols, allowTransparent, returnName)
attribs <- c(input$children[[2]]$attribs, onchange = onchange)
input$children[[2]]$attribs <- attribs
input
}
ui <- fluidPage(
tags$head(
tags$script(HTML(jscolor)) ## to add the javascript to the app
),
fluidRow(
column(4,plotlyOutput("plotx")),
column(4,plotlyOutput("plot2")),
column(4,uiOutput('buttons_color_1')
)
),
fluidRow(
column(4,plotlyOutput("plot3")),
column(4,plotlyOutput("plot4")),
column(4,uiOutput('buttons_color_2'))
)
)
server <- function(input, output, session) {
#functions to make colorinput IDs
COLElement_1 <- function(idx){sprintf("COL_button_plotx_plot2_%d",idx)}
COLElement_2 <- function(idx){sprintf("COL_button_plot3_plot4_%d",idx)}
TheColors <- c('#383838', '#5b195b','#1A237E', '#000080', '#224D17', '#cccc00', '#b37400', '#990000',
'#505050', '#a02ca0', '#000099', '#2645e0', '#099441', '#e5e500', '#cc8400', '#cc0000',
'#737373', '#e53fe5', '#0000FF', '#4479e1', '#60A830', '#ffff00','#e69500', '#ff0000',
'#b2b2b2', '#eb6ceb', '#6666ff', '#d0a3ff', '#9FDA40', '#ffff7f', '#ffa500', '#ff4c4c',
'#d9d9d9', '#f198f1', '#C5CAE9','#BBDEFB','#D9DF1D', '#ffffcc','#ffc04d', '#ff9999')
values <- reactiveValues(colors1 = TheColors, colors2 = sort(TheColors))
lapply(c(1:2), function(i) {
output[[paste('buttons_color_', i,sep = '')]] <- renderUI({
inputs <- lapply(1:3, function(x) { ## 3 in my app changes based on clustering output of my model
Idname <- if(i == 1) { COLElement_1(x) } else {COLElement_2(x) }
colour_input <- colourInput2(inputId = Idname, label = NULL,
palette = "limited", allowedCols = TheColors,
value = isolate(values[[paste('colors', i, sep = '')]][x]),
showColour = "background", returnName = FALSE,
onchange = "toggleColor(this.id)")
div(colour_input,
style = "height: 30px; width: 30px; border-radius: 6px; border-width: 2px; text-align:center; padding: 0px; display:block; margin: 10px"
)
})
do.call(tagList, inputs)
})
# useless: outputOptions(output, paste('buttons_color_', i,sep = ''), suspendWhenHidden=FALSE)
})
myplotly <- function(THEPLOT, xvar, setnr) {
markersize <- 2
markerlegendsize <- 10
colors <- isolate ({values[[paste('colors', setnr, sep = '')]] })
p <- plot_ly(source = paste('plotlyplot', THEPLOT, sep = '.'))
p <- add_trace(p, data = mtcars, x = mtcars[[xvar]], y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
p <- layout(p, title = 'mtcars group by cyl with switching colors')
p <- plotly_build(p)
p
}
output$plotx <- renderPlotly({ myplotly('plotx', 'hp', 1) })
output$plot2 <- renderPlotly({ myplotly('plot2', 'disp', 1)})
output$plot3 <- renderPlotly({ myplotly('plot3','hp', 2)})
output$plot4 <- renderPlotly({ myplotly('plot4', 'disp', 2)})
}
shinyApp(ui, server)
您的JS代码中存在一些拼写错误,而this.value
不会返回颜色选择器的值。
jscolor <- c(
"function toggleColor(id){",
" var color = document.getElementById(id).value;", # get the color of the colourpicker
" var ids = id.split('_');", # split the ids
" var plotAid = ids[2];", #get the id of plotA (plot1 or 3)
" var plotBid = ids[3];", #get the id of plotB (plot2 or 4)
" var index = parseInt(ids[4]) -1;", #get the trace number to target
" var plotA = document.getElementById(plotAid);", #get the plot element
" var dataA = plotA.data;", #access the plot data
" var markerA = dataA[index].marker;", #access the plot's markers
" markerA.color = color;", # set the marker color
" Plotly.restyle(plotA, {marker: markerA}, [index]);", #restyle plotA
" var plotB = document.getElementById(plotBid);", # repeat steps for plot2
" var dataB = plotB.data;",
" var markerB = dataB[index].marker;",
" markerB.color = color;",
" Plotly.restyle(plotB, {marker: markerB}, [index]);",
"};"
)
现在让我们修改colourInput
,允许onchange
属性:
colourInput2 <- function(inputId, label, value = "white",
showColour = c("both", "text", "background"),
palette = c("square", "limited"), allowedCols = NULL,
allowTransparent = FALSE, returnName = FALSE,
onchange){
input <- colourInput(inputId, label, value, showColour, palette,
allowedCols, allowTransparent, returnName)
attribs <- c(input$children[[2]]$attribs, onchange = onchange)
input$children[[2]]$attribs <- attribs
input
}
在server.R
:
lapply(c(1:2), function(i) {
output[[paste('buttons_color_', i,sep = '')]] <- renderUI({
inputs <- lapply(1:3, function(x) { ## 3 in my app changes based on clustering output of my model
Idname <- if(i == 1) { COLElement_1(x) } else {COLElement_2(x) }
colour_input <- colourInput2(inputId = Idname, label = NULL,
palette = "limited", allowedCols = TheColors,
value = isolate(values[[paste('colors', i, sep = '')]][x]),
showColour = "background", returnName = FALSE,
onchange = "toggleColor(this.id)")
div(colour_input,
style = "height: 30px; width: 30px; border-radius: 6px; border-width: 2px; text-align:center; padding: 0px; display:block; margin: 10px"
)
})
do.call(tagList, inputs)
})
# useless: outputOptions(output, paste('buttons_color_', i,sep = ''), suspendWhenHidden=FALSE)
})