Hi all and happy new year,
大家好,新年快乐,
with the below code, I am trying to have it so that the user can filter data to look at whatever combination of days of the week they desire, so, for example, they will be able to select the data from 'Mondays' and 'Thursdays'. Currently the ggplot plots just the data from the first value checked, so, for example, if 'Mondays' and 'Thursdays' are both checked only the data from 'Mondays' will be shown. N.B there's also a checkbox in the code which is working fine.
使用下面的代码,我试图让用户可以过滤数据来查看他们想要的星期几的任何组合,因此,例如,他们将能够从“星期一”和“星期一”中选择数据星期四'。目前,ggplot仅绘制了第一个检查值的数据,因此,例如,如果同时检查“星期一”和“星期四”,则仅显示“星期一”的数据。 N.B代码中还有一个复选框,工作正常。
ui <- fluidPage(
titlePanel("Transfers Analysis App"),
sidebarLayout(
sidebarPanel(
checkboxGroupInput("Day", "Days of Week", c("All", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"), selected="All"),
checkboxInput("Outage", "Highlight Days when an Outage Occured", FALSE)),
mainPanel(
plotOutput("plot1", height = "600px", width = "100%",
hover = hoverOpts(id = "plot_hover")),
verbatimTextOutput("hover_info")
)))
server <- function(input, output) {
output$plot1 <- renderPlot({
Day <- input$Day
Month <- input$Month
Outage <- input$Outage
if(Day == "Monday")
data<-data[data$day == "Monday"]
if(Day == "Tuesday")
data<-data[data$day == "Tuesday"]
if(Day == "Wednesday")
data<-data[data$day == "Wednesday"]
if(Day == "Thursday")
data<-data[data$day == "Thursday"]
if(Day == "Friday")
data<-data[data$day == "Friday"]
if(Day == "Saturday")
data<-data[data$day == "Saturday"]
#ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#plot(data$Date,data$NUMBER_OF_TRANSFERS, xlab = "Date", ylab = "Transfers")
if(Outage == TRUE)
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS, colour = Incident)) + geom_point() + scale_colour_manual(values=c( "red", "black"))
else
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#points(data$Date[data$Quantity == "1"],data$NUMBER_OF_TRANSFERS[data$Quantity == "1"], col='red')
})
1 个解决方案
#1
2
There is wonderful %in%
operator which will do what you want:
在%运算符中有很棒的%可以做你想要的:
library(ggplot2)
library(shiny)
ui <- fluidPage(
titlePanel("Transfers Analysis App"),
sidebarLayout(
sidebarPanel(
checkboxGroupInput("Day", "Days of Week", c("All", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"), selected="All"),
checkboxInput("Outage", "Highlight Days when an Outage Occured", FALSE)),
mainPanel(
plotOutput("plot1", height = "600px", width = "100%",
hover = hoverOpts(id = "plot_hover")),
verbatimTextOutput("hover_info")
)))
server <- function(input, output) {
output$plot1 <- renderPlot({
Day <- input$Day
Month <- input$Month
Outage <- input$Outage
if(input$Day != "All"){
data <- data[data$day %in% input$Day,]
}
#ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#plot(data$Date,data$NUMBER_OF_TRANSFERS, xlab = "Date", ylab = "Transfers")
if(Outage == TRUE)
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS, colour = Incident)) + geom_point() + scale_colour_manual(values=c( "red", "black"))
else
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#points(data$Date[data$Quantity == "1"],data$NUMBER_OF_TRANSFERS[data$Quantity == "1"], col='red')
})
}
shinyApp(ui, server)
I also really like the shinyWidgets
package which has the Select All
feature in its pickerInput
:
我也非常喜欢在其pickerInput中具有Select All功能的shinyWidgets包:
library(ggplot2)
library(shiny)
library(shinyWidgets)
ui <- fluidPage(
titlePanel("Transfers Analysis App"),
sidebarLayout(
sidebarPanel(
pickerInput(inputId = "Day",
label = "Days of Week",
choices = c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"), options = list(`actions-box` = TRUE),
multiple = T),
checkboxInput("Outage", "Highlight Days when an Outage Occured", FALSE)),
mainPanel(
plotOutput("plot1", height = "600px", width = "100%",
hover = hoverOpts(id = "plot_hover")),
verbatimTextOutput("hover_info")
)))
server <- function(input, output) {
output$plot1 <- renderPlot({
Day <- input$Day
Month <- input$Month
Outage <- input$Outage
data[data$day %in% input$Day,]
if(Outage == TRUE)
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS, colour = Incident)) + geom_point() + scale_colour_manual(values=c( "red", "black"))
else
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#points(data$Date[data$Quantity == "1"],data$NUMBER_OF_TRANSFERS[data$Quantity == "1"], col='red')
})
}
shinyApp(ui, server)
#1
2
There is wonderful %in%
operator which will do what you want:
在%运算符中有很棒的%可以做你想要的:
library(ggplot2)
library(shiny)
ui <- fluidPage(
titlePanel("Transfers Analysis App"),
sidebarLayout(
sidebarPanel(
checkboxGroupInput("Day", "Days of Week", c("All", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"), selected="All"),
checkboxInput("Outage", "Highlight Days when an Outage Occured", FALSE)),
mainPanel(
plotOutput("plot1", height = "600px", width = "100%",
hover = hoverOpts(id = "plot_hover")),
verbatimTextOutput("hover_info")
)))
server <- function(input, output) {
output$plot1 <- renderPlot({
Day <- input$Day
Month <- input$Month
Outage <- input$Outage
if(input$Day != "All"){
data <- data[data$day %in% input$Day,]
}
#ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#plot(data$Date,data$NUMBER_OF_TRANSFERS, xlab = "Date", ylab = "Transfers")
if(Outage == TRUE)
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS, colour = Incident)) + geom_point() + scale_colour_manual(values=c( "red", "black"))
else
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#points(data$Date[data$Quantity == "1"],data$NUMBER_OF_TRANSFERS[data$Quantity == "1"], col='red')
})
}
shinyApp(ui, server)
I also really like the shinyWidgets
package which has the Select All
feature in its pickerInput
:
我也非常喜欢在其pickerInput中具有Select All功能的shinyWidgets包:
library(ggplot2)
library(shiny)
library(shinyWidgets)
ui <- fluidPage(
titlePanel("Transfers Analysis App"),
sidebarLayout(
sidebarPanel(
pickerInput(inputId = "Day",
label = "Days of Week",
choices = c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"), options = list(`actions-box` = TRUE),
multiple = T),
checkboxInput("Outage", "Highlight Days when an Outage Occured", FALSE)),
mainPanel(
plotOutput("plot1", height = "600px", width = "100%",
hover = hoverOpts(id = "plot_hover")),
verbatimTextOutput("hover_info")
)))
server <- function(input, output) {
output$plot1 <- renderPlot({
Day <- input$Day
Month <- input$Month
Outage <- input$Outage
data[data$day %in% input$Day,]
if(Outage == TRUE)
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS, colour = Incident)) + geom_point() + scale_colour_manual(values=c( "red", "black"))
else
ggplot(data, aes(Date, NUMBER_OF_TRANSFERS)) + geom_point()
#points(data$Date[data$Quantity == "1"],data$NUMBER_OF_TRANSFERS[data$Quantity == "1"], col='red')
})
}
shinyApp(ui, server)