我有一个情节图,我用add_trace手动添加了很多行。我希望能够通过选中复选框来选择图表上显示的行。我也希望能够让复选框代表几个变量。例如,选中名为“Choice A”的复选框将返回varone和vartwo的行。
我觉得我已经尝试了所有东西,但没有运气。我尝试了各种反应函数,但无法让它们工作,因为我的变量在列中,每个跟踪选择一个单独的列,所以我没有在下面的代码中包含反应性因为我无法得到它工作。非常感谢帮助!!
library(shiny)
library(plotly)
library(shinythemes)
mydataset <-data.frame( date = c("12/01/2016", "12/02/2016", "12/03/2016"),
varone = c(60, 65, 80),
vartwo = c(90, 45, 100),
varthree = c(15, 120,201))
ui <- shinyUI(
navbarPage(theme=shinytheme("journal"), "My Dashboard",
tabPanel("Data",
fluidPage(
fluidRow(
column(2, dateRangeInput("daterange1", label = h5("Date Range:"),
start = "2001-01-01",
end = "2010-12-31"),
br(),
checkboxGroupInput("mydataset", label = h5("Variables:"),
c("Choice A" = "varone",
"Choice B" = "vartwo",
"Choice C" = "varthree"))),#close column
column(10, plotlyOutput("plot"))
)))))
server <- function(input, output) {
output$plot <- renderPlotly({
plot_ly(x = mydataset$date, y = mydataset$varone, name = 'varone', type = 'scatter', mode = 'lines') %>%
add_trace(x = mydataset$date, y = mydataset$vartwo, name = 'vartwo', mode = 'lines+markers')%>%
add_trace(x = mydataset$date, y = mydataset$varthree, name = 'varthree', mode = 'lines+markers')
})}
shinyApp(ui ,server)
答案 0 :(得分:0)
这样的事情对你有用吗?
但首先我建议您将数据集从长到长重塑。对于您的每个选择,您都可以按组进行。
library(reshape2)
mydataset_long <- melt(mydataset, id.vars=c("date"))
ui <- shinyUI(
navbarPage(theme=shinytheme("journal"), "My Dashboard",
tabPanel("Data",
fluidPage(
fluidRow(
column(2, dateRangeInput("daterange1", label = h5("Date Range:"),
start = "2001-01-01",
end = "2010-12-31"),
br(),
selectInput("mychoice", "Variables",
c("Choice A",
"Choice B",
"Choice C"))),#close column
column(10, plotlyOutput("myPlot"))
)))))
server <- function(input, output) {
output$myPlot = renderPlotly({
if(identical(input$mychoice, "Choice A")) {
mydataset_long_s <- mydataset_long %>% filter(variable == "varone")
plot_ly(data=mydataset_long_s, x=~as.Date(date), y=~value, line = list(shape="linear"))
} else {
if(identical(input$mychoice, "Choice B")) {
mydataset_long_s <- mydataset_long %>% filter(variable == "vartwo")
plot_ly(data=mydataset_long_s, x=~as.Date(date), y=~value, line = list(shape="linear"))
} else {
mydataset_long_s <- mydataset_long %>% filter(variable == "varthree")
plot_ly(data=mydataset_long_s, x=~as.Date(date), y=~value, line = list(shape="linear"))
}
}
})
}
shinyApp(ui, server)