在我的闪亮应用程序中,我想更改我想要构建的ggplot barChart。 selectinput
应允许更改月份(请参阅下面的数据集),因此我的绘图应相应更改。
问题:问题是,我无法在ggplot函数中使用我的反应函数甚至只是简单的input$monthid
。
数据集:
Month Orders
1 Feb 984524
2 Jan 1151303
3 Mar 575000
> dput(b)
structure(list(Month = c("Feb", "Jan", "Mar"), Orders = c(984524L,
1151303L, 575000L)), .Names = c("Month", "Orders"), class = "data.frame", row.names = c(NA,
-3L))
ui.R
library(shiny)
library(shinythemes)
b<-read.csv("b.csv",header=TRUE,sep=",",stringsAsFactors=TRUE)
shinyUI(fluidPage(theme= shinytheme("flatly"),
sidebarLayout(
sidebarPanel(
selectInput(inputId = "monthid", label = "Month",choices = b$Month,selected = b$Month[1])),
mainPanel(plotOutput("plot"))
))
)
server.R
library(shiny)
library(shinythemes)
library(ggplot2)
b<-read.csv("b.csv",header=TRUE,sep=",",stringsAsFactors=TRUE)
shinyServer(function(input, output) {
#making a reactive object
m<-reactive ({
as.character(input$monthid)
})
output$plot<- renderPlot({
#probably I am making a subset error in x inside aes parameter
ggplot(data = b, aes(x = b[,m()] ,y = b$Orders)) + geom_bar(stat="identity")
})
})
答案 0 :(得分:1)
这是一个最小的工作示例,您可以在会话中复制并粘贴以运行,但是带有单个条形图的条形图实际上没有多大意义(如果您问我,看起来很难看):
library(shiny)
shinyApp(
ui = fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(
inputId = "monthid",
label = "Month",
choices = b$Month,
selected = b$Month[1]
)
),
mainPanel(plotOutput("plot"))
)
),
server = function(input, output) {
DF <- reactive({
b[b$Month == input$monthid, , drop = FALSE]
})
output$plot <- renderPlot({
ggplot(DF(), aes(x = Month, y = Orders)) +
geom_bar(stat = "identity")
})
}
)
看起来有点像这样:
由于这看起来不太好IMO,你可以通过突出显示当前选中的栏来做某事,例如:
b$highlight <- factor("Not Selected", levels = c("Not selected", "Selected"))
shinyApp(
ui = fluidPage(
sidebarLayout(
sidebarPanel(
selectInput(
inputId = "monthid",
label = "Month",
choices = b$Month,
selected = b$Month[1]
)
),
mainPanel(plotOutput("plot"))
)
),
server = function(input, output) {
DF <- reactive({
b[b$Month == input$monthid, "highlight"] <- "Selected"
b
})
output$plot <- renderPlot({
ggplot(DF(), aes(x = Month, y = Orders, fill = highlight)) +
geom_bar(stat = "identity")
})
}
)
这看起来如下: