我正在尝试使用dygraphs闪亮。我尝试生成一个图表,根据输入变量显示时间序列数据。数据样本如下:
date product sold
1 2015-01-01 a 1
2 2015-01-01 b 20
3 2015-02-01 a 2
4 2015-02-01 b 15
5 2015-03-01 a 3
6 2015-03-01 b 10
7 2015-04-01 a 4
8 2015-04-01 b 5
9 2015-05-01 a 5
10 2015-05-01 b 1
我想要的是一个时间序列图,其中包含产品变量的复选框控件(查看产品a,b或两者)。
ui和服务器代码是(shinydashboard package):
library(shiny)
library(dygraphs)
library(dplyr)
library(xts)
ui <- dashboardPage(
skin="black",
dashboardHeader(title = "title"),
dashboardSidebar(
sidebarMenu(
menuItem("Results", tabName = "Result1", icon = icon("th"))
)),
dashboardBody(
tabItems(
tabItem(tabName = "Result1",
fluidRow(
dygraphOutput("Graph")
),
sidebarPanel(
uiOutput("output1")
)
)
) )
)
server <- function(input, output) {
output$Graph <- renderDygraph({
data_f <- filter(data_products,
product==input$type)
xts(data_f$sold, as.Date(data_f$date, format = "%Y-%m-%d")) %>%
dygraph()
})
output$output1<-renderUI({
selectizeInput("type","Choose product",
choices=levels(data_products$product), multiple=TRUE)
})
}
shinyApp(ui, server)
尝试了几种方法,但总是会出错。提前感谢任何建议。
答案 0 :(得分:1)
在这部分代码中你必须要小心:
data_f <- filter(data_products,
product==input$type)
在此示例中,根据您的选择input$type
可以包含0,1或2个元素。如果它包含一个元素"a"
或"b"
,那么一切都很好,但在其他情况下,您会收到错误或警告。
如果您未在窗口小部件中选择任何值,input$type
将返回NULL
。因此,逻辑比较将失败,您将得到错误。为了避免这种情况 - 在使用丢失的输入之前 - 您可以使用req
或validate
函数,这些函数可以被读作“要求输入可用”。 Here您可以阅读更多有关处理闪亮输入的信息。
如果您同时选择"a"
和"b"
product==input$type
,则会返回警告,因为==
不适用于多重比较。而不是将其改为%in%
。
由于您需要一个复选框,我将selectInput
更改为checkboxGroupInput
完整示例:
library(shiny)
library(dygraphs)
library(dplyr)
library(xts)
# I pasted your example data to exces and then readed it into R with these
# two lines of the code. It seems that product has to be a factor, because you
# use 'levels(data_products$product)'
# data_products <- as.data.frame(read_excel("~/Downloads/data.xlsx"))[-1]
# data_products$product <- as.factor(data_products$product)
ui <- dashboardPage(
skin="black",
dashboardHeader(title = "title"),
dashboardSidebar(
sidebarMenu(
menuItem("Results", tabName = "Result1", icon = icon("th"))
)),
dashboardBody(
tabItems(
tabItem(tabName = "Result1",
fluidRow(
dygraphOutput("Graph")
),
sidebarPanel(
uiOutput("output1")
)
)
)
)
)
server <- function(input, output) {
output$Graph <- renderDygraph({
req(input$type) # require that input$type is available
data_f <- filter(data_products,
product %in% input$type) # use "%in%" instead of "=="
xts(data_f$sold, as.Date(data_f$date, format = "%Y-%m-%d")) %>%
dygraph()
})
output$output1 <- renderUI({
# selectizeInput("type","Choose product",
# choices=levels(data_products$product), multiple=TRUE)
checkboxGroupInput("type", "Choose product",
choices = levels(data_products$product),
selected = levels(data_products$product))
})
}
shinyApp(ui, server)
<强> EDITED 强>:
如果您想在选择a
和b
时有两行,则必须更改数据格式 - 您必须从长到宽。这样做的原因是,您可以使用xts
轻松创建双变量时间序列,dygraph
将绘制两条不同的行。
使用Hadley Wickham的reshape2
软件包很容易实现从长到宽。
# Copy data from your example
data_products <- read.table(con<-file("clipboard"),header=T)
data_products$product <- as.factor(data_products$product)
# Reshape
data_products <- dcast(data_products, date ~ product)
您的数据集现在看起来像这样:
date a b
1 2015-01-01 1 20
2 2015-02-01 2 15
3 2015-03-01 3 10
4 2015-04-01 4 5
5 2015-05-01 5 1
由于数据的新特性,您必须稍微更改服务器端的代码。我在代码中留下了评论
ui <- dashboardPage(
skin = "black",
dashboardHeader(title = "title"),
dashboardSidebar(
sidebarMenu(
menuItem("Results", tabName = "Result1", icon = icon("th"))
)),
dashboardBody(
tabItems(
tabItem(tabName = "Result1",
fluidRow(
dygraphOutput("Graph")
),
sidebarPanel(
uiOutput("output1")
)
)
)
)
)
server <- function(input, output) {
output$Graph <- renderDygraph({
req(input$type) # require that input$type is available
# Due to the wide format we have to select columns
data_f <- data_products[, c("date", input$type)]
# univariate or bivariate time series
xts(data_f[-1], as.Date(data_f$date, format = "%Y-%m-%d")) %>%
dygraph()
})
output$output1 <- renderUI({
# Since we now have data in wide format, the choices are
# the names of columns (expect date)
checkboxGroupInput("type", "Choose product",
choices = names(data_products)[-1])
})
}
shinyApp(ui, server)