如何在R / Shiny中构建反应数据框? [英] How do I build a reactive dataframe in R / Shiny?
问题描述
我想使用反应数据框显示多个绘图和图形。我有一个我想要过滤的数据集。我找到了正确的过滤器设置,我想显示一些不同的图表上的数据 - 如果过滤器设置被更改,将会更新。
I want to use a reactive dataframe to show multiple plots and graphs. I have a dataset that I would like to be able to filter on. Ones I have found the right filter settings, I would like to show the data on a number of different plots – that will update, if the filter settings are changed.
可能会解释,我正在做什么:
This might explain, what I’m trying to do:
UI:
fluidPage(
sidebarLayout(
sidebarPanel(
checkboxGroupInput("checkGroups",
label = "Include", choices = list("1 star" = 1, "2 star" = 2,
"3 star" = 3, "4 star" = 4,
"5 star" = 5),
selected = list(1, 2, 3, 4, 5)),
checkboxInput("checkbox", "Include Replies"),
actionButton("Button", "Update")
),
mainPanel(
showOutput("plot", "nvd3"),
showOutput("pieplot", "nvd3")
)
)
)
服务器:
rating <- c(2, 3, 5, 4, 1, 5, 3, 1, 4)
date_time <- c("2015-05-14", "2015-05-07", "2015-05-06", "2015-04-11", "2015-01-07", "2014-12-06", "2014-04-11", "2014-01-07", "2013-12-06")
repliesOnly <- c(TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE)
data <- data.frame(rating, date_time, repliesOnly)
function(input, output, session) {
load("data.Rdata")
newdata <- reactive({
filter_data <- data
filter_data <- filter_data %>% filter(rating %in% input$checkGroups)
filter_data <- filter_data %>% filter(repliesOnly %in% input$checkbox)
return(filter_data)
})
output$plot <- renderChart({
plot <- nPlot(rating ~ date_time, data = newdata,
type = "multiBarHorizontalChart", dom = 'plot')
return(plot)
})
output$pieplot <- renderChart({
pieplot <- nPlot(rating ~ date_time, data = newdata,
type = "pieChart", dom = 'pieplot')
return(pieplot)
})
}
可以做吗?当然,我可以为每个图形输出包含过滤器,但是我的数据集是相当大的,我的过滤器是相当复杂的,所以如果它应该为每个图形计算它永远需要。
Can it be done? Of course I can just include the filter for each graph-output, but my dataset is rather big and my filter is quite complex, so if it should calculate it for each graph it takes forever.
所有的帮助深深感激!
推荐答案
感谢您的帮助 - 这工作:
Thanks for the help - this worked:
SERVER:
library(shiny)
library(rCharts)
rating <- c(2, 3, 5, 4, 1, 5, 3, 1, 4)
date_time <- c("2015-05-14", "2015-05-07", "2015-05-06", "2015-04-11", "2015-01-07", "2014-12-06", "2014-04-11", "2014-01-07", "2013-12-06")
repliesOnly <- c(TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE)
data <- data.frame(rating, date_time, repliesOnly)
data$rating <- as.character(data$rating)
function(input, output, session) {
load("data.Rdata")
datadata <- data
makeReactiveBinding("datadata")
newData <- reactive({
input$Button
isolate({
datadata <- data
datadata <- subset(datadata, rating %in% input$checkGroups)
})
})
output$plot <- renderChart({
datadata <- newData()
plot <- nPlot(rating ~ date_time, data = datadata,
type = "multiBarHorizontalChart", dom = 'plot')
return(plot)
})
output$pieplot <- renderChart({
datadata <- newData()
pieplot <- nPlot(rating ~ date_time, data = datadata,
type = "pieChart", dom = 'pieplot')
return(pieplot)
})
}
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