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下面是我正在處理的內容。底部和右邊的線條圖代表主要地塊沿各自軸線的投影。 ContourShiny - > Plotly-> Contour - > event_data()
當我放大的主要情節,我想預測,以根據XMIN,XMAX,y最小和y,並進一步項目僅縮放什麼的主要情節是展示,而不是總是完全突出的主要情節。
這可能嗎?我嘗試使用event_data(「plot_hover」)和event_data(「plot_selected」),但都沒有效果。他們都提出了空。
對於更簡單的圖表有很多文檔,但對輪廓沒有太多,所以我想我會問這個。
這裏是我的代碼(老實說,很簡陋)的簡化版本:
ui.R
shinyUI(dashboardPage(
dashboardHeader(title = "Oscillations in Spectroscopy"),
dashboardSidebar(sidebarMenu(
id = "mytabs",
menuItem(
"Data Input",
tabName = "input",
icon = icon("dashboard")
)
)),
dashboardBody(tabItems(tabItem(
"input",
box(
title = "Data Input",
status = "warning",
solidHeader = TRUE,
width = "100%",
height = "100%",
fluidPage(fluidRow(
column(7,
plotlyOutput("raw"),
plotlyOutput("raw.x")),
column(2, width = 5,
plotlyOutput("raw.y"))
))
)
)))
))
Server.r
shinyServer(function(input, output, session) {
process.data <- reactive({
#Do some back - end stuff
return(df)
})
output$raw <- renderPlotly({
print(.mainplot())
})
output$raw.x <- renderPlotly({
.xplot()
})
output$raw.y <- renderPlotly({
.yplot()
})
.mainplot <- function() {
df <- data.frame(process.data())
p <-
plot_ly(
df,
x = ~ series,
y = ~ time,
z = ~ value,
type = "contour",
source = "A"
) %>% hide_colorbar()
return (p)
}
.xplot <- function() {
df <- data.frame(process.data())
p <-
plot_ly(
df,
x = ~ series,
y = ~ value,
type = 'scatter',
mode = 'lines'
) %>%
layout(xaxis = list(title = ""),
yaxis = list(title = "", showticklabels = F))
return(p)
}
.yplot <- function() {
df <- data.frame(process.data())
p <-
plot_ly(
df,
x = ~ x,
y = ~ y,
type = 'scatter',
mode = 'lines'
) %>%
layout(xaxis = list(title = ""),
yaxis = list(title = "", showticklabels = F))
return (p)
}
})