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我的应用程序在本地运行良好。我可以与它进行交互等。但是，在全局部署时，它会立即引发“从服务器断开连接”错误。我一直在Google上搜索几天，并尝试了一切我知道如何尝试。闪亮的应用程序在本地加载，部署时从服务器断开连接
首先第一件事情：
- 我试图卸载然后再重新安装一堆包
- 我所有的软件包更新我使用
- 没有信息都在闪亮的日志。 “这个应用程序目前没有日志。”
- 我的数据（CSV）只有17MB（3列，1M十岁上下行）
- 当我把它缩小到只有大约200行我继续有同样的问题
- 我通过设置去，改变了启动超时时间设置为300，并逐一系统地更改每个其他设置。
- 我已经阅读了浏览器的JavaScript日志的端到端。他们没有多少意义（可能是因为我不懂JavaScript），但没有任何明显的突出。
- 我不跟整个文件路径加载我的数据，刚刚结束部分
我的“部署”登录RStudio表示成功部署：
Preparing to deploy application...DONE
Uploading bundle for application: 193997...DONE
Deploying bundle: 994423 for application: 193997 ...
Waiting for task: 489405538
building: Building image: 992534
building: Fetching packages
building: Installing packages
building: Installing files
building: Pushing image: 992534
deploying: Starting instances
rollforward: Activating new instances
terminating: Stopping old instances
Application successfully deployed to https://jesstme.shinyapps.io/shinynames/
Deployment completed: https://jesstme.shinyapps.io/shinynames/
链接到应用程序本身： https://jesstme.shinyapps.io/shinynames/
Server代码：
#set wd & environment----
setwd("/Users/OldJess/Dropbox/R Stuff (Home)/ShinyNames")
#load packages------
library(datasets)
library(ggplot2)
library(viridis)
library(ggthemes)
library(gridExtra)
library(dplyr)
library(rdrop2)
library(shiny)
library(devtools)
#base <- read.csv("data/NationalNamesBrief.csv", stringsAsFactors = FALSE, row.names = NULL, na.strings = c("NA","","#MULTIVALUE"))
#temporary df for demonstration purposes
base <- structure(list(Name = c("Ellie", "Ellie", "Ellie", "Ellie", "Ellie",
"Ellie"),
Year = c(1880L, 1881L, 1882L, 1883L, 1883L, 1884L),
Gender = c("F", "F", "F", "F", "M", "F"),
Count = c(17L, 27L, 37L, 24L, 7L, 28L)),
.Names = c("Name", "Year", "Gender", "Count"),
row.names = c(NA, 6L), class = "data.frame")
#clean data----
base$name <- tolower(base$Name)
base$MF <- as.factor(base$Gender)
#add ranking data by Year
base <- base %>%
group_by(Year) %>%
arrange(Year, desc(Count)) %>%
mutate(Rank = row_number())
#add ranking data by Year AND Gender
base <- base %>%
group_by(Year, Gender) %>%
arrange(Year, desc(Count)) %>%
mutate(GenderRank = row_number())
#create functions----
#function to create line & heat charts
lineHeatCharts <- function(pickaname){
pickanameLower <- tolower(pickaname)
subDf <- subset(base[base$name == pickanameLower,])
heat <- ggplot(subDf, aes(x = Year, y = MF, fill = Count)) +
scale_fill_viridis(name = "",
option = "B",
limits = c(0, max(subDf$Count))) +
geom_tile(color = "white", size = 0) +
theme_tufte() +
theme(axis.text.x = element_text(angle = 90, vjust = 1, hjust = 1),
axis.ticks.x = element_blank()) +
scale_x_continuous(breaks = seq(min(subDf$Year),
max(subDf$Year), by = 5)) +
labs(x = "Year", y = "")
line <- ggplot(subDf, aes(x = Year, y = Count, fill = MF)) +
geom_line(aes(colour = factor(subDf$Gender)), size = 1.5) +
theme_tufte() +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank()) +
scale_x_continuous(breaks = seq(min(subDf$Year),
max(subDf$Year), by = 5)) +
labs(x = "", y = "", color = "")
return(grid.arrange(line, heat,
ncol = 1, nrow = 2,
heights = c(5, 2), top = max(subDf$Name)))
}
# Define server logic
function(input, output) {
output$view <- renderPlot({
lineHeatCharts(input$list)
})
}
UI代码：
library(shiny)
library(shinythemes)
# Define UI for dataset viewer application
fluidPage(theme = shinytheme("flatly"),
# Application title
titlePanel("First Names on U.S. Social Security Applications, 1880 - 2014"),
sidebarLayout(
sidebarPanel(
textInput(inputId = "list", label = "Enter a name:", value = "Ellie"),
helpText("Note: This page will take about 30 seconds to load the first time you open it. Data are from US Social Security applications via data.gov. For privacy, only names with at least 5 babies per year are included. Errors in Social Security form submission, like incorrect sex, are not corrected. Names with special characters and spaces are not included."),
submitButton("Refresh View")
),
mainPanel(
h4(""),
plotOutput("view")
)
)
)
你能提供整个应用程序吗？ –
@PorkChop完成。 – jesstme