R 当我在ggplot中选择特定坐标时，闪亮的应用程序会崩溃
我有一个闪亮的应用程序，可以在R 当我在ggplot中选择特定坐标时，闪亮的应用程序会崩溃,r,ggplot2,shiny,R,Ggplot2,Shiny,我有一个闪亮的应用程序，可以在mtcars数据集的选定变量之间创建散点图。如您所见，我修改了数据标签，以便在每个点上显示汽车类型，而不是x-y坐标。问题是，当我点击我的趋势线时，在没有数据的点上——因此显示坐标，应用程序正在崩溃。以下是一个可复制的示例： #ui.r library(shiny) library(ggplot2) library(plotly) library(dplyr) fluidPage( # App title ---- titlePanel(div("CRO
mtcars#ui.r
library(shiny)
library(ggplot2)
library(plotly)
library(dplyr)
fluidPage(
# App title ----
titlePanel(div("CROSS CORRELATION",style = "color:blue")),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
),
# Main panel for displaying outputs ----
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Correlation Plot",
fluidRow(
column(3, uiOutput("lx1")),
column(3,uiOutput("lx2"))),
hr(),
fluidRow(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
)
),
fluidRow(
plotlyOutput("sc"))
)
)
)))
#server.r
function(input, output) {
output$lx1<-renderUI({
selectInput("lx1", label = h4("Select 1st Expression Profile"),
choices = colnames(mtcars[,2:5]),
selected = "Lex1")
})
output$lx2<-renderUI({
selectInput("lx2", label = h4("Select 2nd Expression Profile"),
choices = colnames(mtcars[,2:5]),
selected = "Lex2")
})
# 1. create reactive values
vals <- reactiveValues()
# 2. create df to store clicks
vals$click_all <- data.frame(x = numeric(),
y = numeric(),
label = character())
# 3. add points upon plot click
observe({
# get clicked point
click_data <- event_data("plotly_click", source = "select")
# get data for current point
label_data <- data.frame(x = click_data[["x"]],
y = click_data[["y"]],
label = click_data[["key"]],
stringsAsFactors = FALSE)
# add current point to df of all clicks
vals$click_all <- merge(vals$click_all,
label_data,
all = TRUE)
})
output$sc<-renderPlotly({
mtcars$car <- row.names(mtcars)
p1 <- ggplot(mtcars, aes_string(x = input$lx1, y = input$lx2,key = "car",group="car"))+
# Change the point options in geom_point
geom_point(color = "darkblue") +
# Change the title of the plot (can change axis titles
# in this option as well and add subtitle)
labs(title = "Cross Correlation") +
# Change where the tick marks are
# Change how the text looks for each element
theme_bw()+
geom_smooth(aes(group = 1))+
# 4. add labels for clicked points
geom_text(data = vals$click_all,
aes(x = x, y = y, label = label),
inherit.aes = FALSE, nudge_x = 0.25)
ggplotly(p1,source = "select", tooltip = c("key")) %>%
layout(hoverlabel = list(bgcolor = "white",
font = list(family = "Calibri",
size = 9,
color = "black")))
})
}
#ui.r
图书馆（闪亮）
图书馆（GG2）
图书馆（绘本）
图书馆（dplyr）
流动摄影(
#应用程序标题----
标题板（div（“互相关”，style=“color:blue”），
#带有输入和输出定义的侧栏布局----
侧边栏布局(
#输入侧栏面板----
侧栏面板(
),
#用于显示输出的主面板----
主面板(
tabsetPanel（type=“tabs”，
tabPanel（“相关图”，
fluidRow(
列（3，uiOutput（“lx1”），
列（3，uiOutput（“lx2”），
hr（），
fluidRow(
标记$style（type=“text/css”，
“.Shining输出错误{可见性：隐藏；}”，
“.Shining输出错误：在{可见性：隐藏；}之前”
)
),
fluidRow(
打印输出（“sc”））
)
)
)))
#服务器.r
功能（输入、输出）{
输出$lx1正如您所说，在单击趋势线后，应用程序会出现故障，其中没有与汽车对应的点。让我们继续使用该场景。您会得到以下错误：
警告：data.frame中出错：参数表示行数不同：1，0
此错误的原因是，单击趋势线后，存储在click\u data
变量中的数据框不包含变量键
无论如何，您都可以通过单击_data[[“key”]]
来访问此变量，但它的输出为NULL
，因为它不存在
在下一步中，您需要构建一个新的data.framelabel\u data
，其中label
被分配给NULL
，从而产生错误
label_data <- data.frame(x = click_data[["x"]], # it is fine because it is number
y = click_data[["y"]], # also fine
label = NULL, # label gets NULL
stringsAsFactors = FALSE)
现在我们知道了为什么会出现错误，我们可以找到多种解决方案，其中之一就是首先要求这样做
click_data <- event_data("plotly_click", source = "select")
就是
observe({
# get clicked point
click_data <- event_data("plotly_click", source = "select")
# Require that click_data is available (does not return NULL)
req(click_data)
label_ <- ifelse(is.null(click_data[["key"]]),
yes = "",
no = click_data[["key"]])
# get data for current point
label_data <- data.frame(x = click_data[["x"]],
y = click_data[["y"]],
label = label_,
stringsAsFactors = FALSE)
# add current point to df of all clicks
vals$click_all <- merge(vals$click_all,
label_data,
all = TRUE)
})
观察({
#点击点
点击数据例外和解释良好的答案。非常感谢！
label_ <- ifelse(is.null(click_data[["key"]]),
yes = "",
no = click_data[["key"]])
observe({
# get clicked point
click_data <- event_data("plotly_click", source = "select")
# Require that click_data is available (does not return NULL)
req(click_data)
label_ <- ifelse(is.null(click_data[["key"]]),
yes = "",
no = click_data[["key"]])
# get data for current point
label_data <- data.frame(x = click_data[["x"]],
y = click_data[["y"]],
label = label_,
stringsAsFactors = FALSE)
# add current point to df of all clicks
vals$click_all <- merge(vals$click_all,
label_data,
all = TRUE)
})
library(shiny)
library(ggplot2)
library(plotly)
library(dplyr)
ui <- fluidPage(
# App title ----
titlePanel(div("CROSS CORRELATION",style = "color:blue")),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
),
# Main panel for displaying outputs ----
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Correlation Plot",
fluidRow(
column(3, uiOutput("lx1")),
column(3,uiOutput("lx2"))),
hr(),
fluidRow(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
)
),
fluidRow(
plotlyOutput("sc"))
)
)
)))
#server.r
server <- function(input, output) {
output$lx1<-renderUI({
selectInput("lx1", label = h4("Select 1st Expression Profile"),
choices = colnames(mtcars[,2:5]),
selected = "Lex1")
})
output$lx2<-renderUI({
selectInput("lx2", label = h4("Select 2nd Expression Profile"),
choices = colnames(mtcars[,2:5]),
selected = "Lex2")
})
# 1. create reactive values
vals <- reactiveValues()
# 2. create df to store clicks
vals$click_all <- data.frame(x = numeric(),
y = numeric(),
label = character())
# 3. add points upon plot click
observe({
# get clicked point
click_data <- event_data("plotly_click", source = "select")
# Require that click_data is available (does not return NULL)
req(click_data)
label_ <- ifelse(is.null(click_data[["key"]]),
yes = "",
no = click_data[["key"]])
# get data for current point
label_data <- data.frame(x = click_data[["x"]],
y = click_data[["y"]],
label = label_,
stringsAsFactors = FALSE)
# add current point to df of all clicks
vals$click_all <- merge(vals$click_all,
label_data,
all = TRUE)
})
output$sc<-renderPlotly({
mtcars$car <- row.names(mtcars)
p1 <- ggplot(mtcars, aes_string(x = input$lx1, y = input$lx2,key = "car",group="car"))+
# Change the point options in geom_point
geom_point(color = "darkblue") +
# Change the title of the plot (can change axis titles
# in this option as well and add subtitle)
labs(title = "Cross Correlation") +
# Change where the tick marks are
# Change how the text looks for each element
theme_bw()+
geom_smooth(aes(group = 1))+
# 4. add labels for clicked points
geom_text(data = vals$click_all,
aes(x = x, y = y, label = label),
inherit.aes = FALSE, nudge_x = 0.25)
ggplotly(p1,source = "select", tooltip = c("key")) %>%
layout(hoverlabel = list(bgcolor = "white",
font = list(family = "Calibri",
size = 9,
color = "black")))
})
}
shinyApp(ui, server)