R 我能'；不要发布我的shinyapp，有什么建议可以解决这个错误吗

我正在尝试开发一个Shinyapp来模拟新冠病毒-19疾病，但我在尝试发布它时找不到错误。在R中，代码运行正常，所有内容都正确显示，但当我尝试发布时，绘图应显示的部分显示错误：“出现错误。请检查日志或联系应用程序作者以获得澄清。” 我正在尝试使用Prophet软件包。我是这个软件包的新手，这是我的第一个应用程序，所以我会感谢你的帮助

日志：

2020-04-04T06:19:59.741057+00:00 shinyapps[2055422]: Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.
2020-04-04T06:19:59.794156+00:00 shinyapps[2055422]: Compiling model (this will take a few minutes...)
2020-04-04T06:19:59.794607+00:00 shinyapps[2055422]: If this is the first time fitting a model since package install, this is normal. You should not see this message more than once after install.
2020-04-04T06:19:59.795419+00:00 shinyapps[2055422]: Writing model to: /opt/R/3.6.3/lib/R/library/prophet/libs
2020-04-04T06:19:59.795868+00:00 shinyapps[2055422]: Compiling using binary: /opt/R/3.6.3/lib/R/bin
2020-04-04T06:20:26.545815+00:00 shinyapps[2055422]: Warning in system(cmd, intern = !verbose) :
2020-04-04T06:20:26.545817+00:00 shinyapps[2055422]:   comando ejecutado '/opt/R/3.6.3/lib/R/bin/R CMD SHLIB file10a8c62e87.cpp 2> file10a8c62e87.cpp.err.txt' tiene estatus 1
2020-04-04T06:20:26.602133+00:00 shinyapps[2055422]: Warning: Error in sink: conexión inválida
2020-04-04T06:20:26.610392+00:00 shinyapps[2055422]:   185: sink
2020-04-04T06:20:26.610394+00:00 shinyapps[2055422]:   184: cxxfunctionplus
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]:   182: compile_stan_model
2020-04-04T06:20:26.610394+00:00 shinyapps[2055422]:   183: rstan::stan_model
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]:   181: fit.prophet
2020-04-04T06:20:26.610396+00:00 shinyapps[2055422]:   179: renderPlot [/srv/connect/apps/COVID19-Mexico/app.R#131]
2020-04-04T06:20:26.610396+00:00 shinyapps[2055422]:   177: fund
2020-04-04T06:20:26.610419+00:00 shinyapps[2055422]:   137: drawPlot
2020-04-04T06:20:26.610420+00:00 shinyapps[2055422]:   123: <reactive:plotObj>
2020-04-04T06:20:26.610420+00:00 shinyapps[2055422]:   107: drawReactive
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]:    94: origRenderFunc
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]:    93: output$timeplot
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]:    13: runApp
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]:     6: eval
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]:    12: fn
2020-04-04T06:20:26.610423+00:00 shinyapps[2055422]:     5: eval
2020-04-04T06:20:26.771701+00:00 shinyapps[2055422]: Disabling yearly seasonality. Run prophet with yearly.seasonality=TRUE to override this.
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]:   180: prophet
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]:     7: connect$retry
2020-04-04T06:20:26.772159+00:00 shinyapps[2055422]: Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.
2020-04-04T06:20:26.883191+00:00 shinyapps[2055422]: Compiling model (this will take a few minutes...)
2020-04-04T06:20:26.883501+00:00 shinyapps[2055422]: If this is the first time fitting a model since package install, this is normal. You should not see this message more than once after install.
2020-04-04T06:20:26.884052+00:00 shinyapps[2055422]: Writing model to: /opt/R/3.6.3/lib/R/library/prophet/libs
2020-04-04T06:20:26.884384+00:00 shinyapps[2055422]: Compiling using binary: /opt/R/3.6.3/lib/R/bin
2020-04-04T06:20:56.818503+00:00 shinyapps[2055422]: Warning in system(cmd, intern = !verbose) :
2020-04-04T06:20:56.818505+00:00 shinyapps[2055422]:   comando ejecutado '/opt/R/3.6.3/lib/R/bin/R CMD SHLIB file10a4e80f688.cpp 2> file10a4e80f688.cpp.err.txt' tiene estatus 1
2020-04-04T06:20:56.867650+00:00 shinyapps[2055422]: Warning: Error in sink: conexión inválida
2020-04-04T06:20:56.872694+00:00 shinyapps[2055422]:   115: sink
2020-04-04T06:20:56.872694+00:00 shinyapps[2055422]:   114: cxxfunctionplus
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]:   113: rstan::stan_model
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]:   112: compile_stan_model
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]:   111: fit.prophet
2020-04-04T06:20:56.872696+00:00 shinyapps[2055422]:   110: prophet
2020-04-04T06:20:56.872696+00:00 shinyapps[2055422]:   109: compute_data [/srv/connect/apps/COVID19-Mexico/app.R#221]
2020-04-04T06:20:56.872697+00:00 shinyapps[2055422]:   108: renderTable [/srv/connect/apps/COVID19-    Mexico/app.R#272]
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]:   107: fund
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]:    94: origRenderFunc
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]:    93: output$table
2020-04-04T06:20:56.872708+00:00 shinyapps[2055422]:    13: runApp
2020-04-04T06:20:56.872708+00:00 shinyapps[2055422]:    12: fn
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]:     7: connect$retry
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]:     6: eval
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]:     5: eval

2020-04-04T06:19:59.741057+00:00 shinyapps[2055422]：禁用每日季节性。运行prophet with daily.季节性=TRUE以覆盖此选项。
2020-04-04T06:19:59.794156+00:00 shinyapps[2055422]：编译模型（这将需要几分钟…）
2020-04-04T06:19:59.794607+00:00 shinyapps[2055422]：如果这是自软件包安装以来第一次安装模型，这是正常的。安装后，您不应多次看到此消息。
2020-04-04T06:19:59.795419+00:00 shinyapps[2055422]：将模型写入：/opt/R/3.6.3/lib/R/library/prophet/libs
2020-04-04T06:19:59.795868+00:00 shinyapps[2055422]：使用二进制编译：/opt/R/3.6.3/lib/R/bin
2020-04-04T06:20:26.545815+00:00 shinyapps[2055422]：系统中的警告（cmd，intern=！verbose）：
2020-04-04T06:20:26.545817+00:00 shinyapps[2055422]：comando ejecutado'/opt/R/3.6.3/lib/R/bin/R CMD SHLIB file10a8c62e87.cpp 2>file10a8c62e87.cpp.err.txt'tiene estatus 1
2020-04-04T06:20:26.602133+00:00Shinyapps[2055422]：警告：水槽错误：科内西翁因瓦利达
2020-04-04T06:20:26.610392+00:00 shinyapps[2055422]：185:sink
2020-04-04T06:20:26.610394+00:00 shinyapps[2055422]：184:cxxfunctionplus
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]：182:编译标准模型
2020-04-04T06:20:26.610394+00:00 shinyapps[2055422]：183:rstan：：stan_模型
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]：181:fit.prophet
2020-04-04T06:20:26.610396+00:00Shinyapps[2055422]：179:renderPlot[/srv/connect/apps/COVID19 Mexico/app.R#131]
2020-04-04T06:20:26.610396+00:00 shinyapps[2055422]：177:基金
2020-04-04T06:20:26.610419+00:00 shinyapps[2055422]：137：绘图
2020-04-04T06:20:26.610420+00:00 shinyapps[2055422]：123:
2020-04-04T06:20:26.610420+00:00 shinyapps[2055422]：107:
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]：94:origRenderFunc
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]：93:输出$timeplot
2020-04-04T06:20:26.610421+00:00 shinyapps[2055422]：13:runApp
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]：6:eval
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]：12:fn
2020-04-04T06:20:26.610423+00:00 shinyapps[2055422]：5:eval
2020-04-04T06:20:26.771701+00:00Shinyapps[2055422]：禁用年度季节性。运行prophet with year.季节性=TRUE以覆盖此选项。
2020-04-04T06:20:26.610395+00:00 shinyapps[2055422]：180:先知
2020-04-04T06:20:26.610422+00:00 shinyapps[2055422]：7:connect$retry
2020-04-04T06:20:26.772159+00:00Shinyapps[2055422]：禁用每日季节性。运行prophet with daily.季节性=TRUE以覆盖此选项。
2020-04-04T06:20:26.883191+00:00 shinyapps[2055422]：编译模型（这将需要几分钟…）
2020-04-04T06:20:26.883501+00:00 shinyapps[2055422]：如果这是自软件包安装以来第一次安装模型，这是正常的。安装后，您不应多次看到此消息。
2020-04-04T06:20:26.884052+00:00 shinyapps[2055422]：将模型写入：/opt/R/3.6.3/lib/R/library/prophet/libs
2020-04-04T06:20:26.884384+00:00 shinyapps[2055422]：使用二进制编译：/opt/R/3.6.3/lib/R/bin
2020-04-04T06:20:56.818503+00:00Shinyapps[2055422]：系统中的警告（cmd，intern=！verbose）：
2020-04-04T06:20:56.818505+00:00 shinyapps[2055422]：comando ejecutado'/opt/R/3.6.3/lib/R/bin/R CMD SHLIB file10a4e80f688.cpp 2>file10a4e80f688.cpp.err.txt'tiene estatus 1
2020-04-04T06:20:56.867650+00:00 shinyapps[2055422]：警告：水槽错误：科内西翁投资公司
2020-04-04T06:20:56.872694+00:00 shinyapps[2055422]：115:sink
2020-04-04T06:20:56.872694+00:00 shinyapps[2055422]：114:cxxfunctionplus
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]：113:rstan：：stan_模型
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]：112:编译标准模型
2020-04-04T06:20:56.872695+00:00 shinyapps[2055422]：111:fit.prophet
2020-04-04T06:20:56.872696+00:00 shinyapps[2055422]：110:先知
2020-04-04T06:20:56.872696+00:00 shinyapps[2055422]：109:compute_data[/srv/connect/apps/COVID19 Mexico/app.R#221]
2020-04-04T06:20:56.872697+00:00Shinyapps[2055422]：108:renderable[/srv/connect/apps/COVID19-Mexico/app.R#272]
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]：107:基金
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]：94:origRenderFunc
2020-04-04T06:20:56.872707+00:00 shinyapps[2055422]：93：产出$table
2020-04-04T06:20:56.872708+00:00 shinyapps[2055422]：13:runApp
2020-04-04T06:20:56.872708+00:00 shinyapps[2055422]：12:fn
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]：7:connect$retry
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]：6:eval
2020-04-04T06:20:56.872709+00:00 shinyapps[2055422]：5:eval

发布此应用程序有什么建议或其他方法吗？谢谢 下载

大宗报价

---

我通过将软件包从prophet更改为forecast，并用Plotly绘图解决了这个问题。我认为问题出在dyplot.prophet上，但通过Plotly和Forecast软件包，问题得到了解决。我使用了来自

ts_案例=ts（mex$y，ts（mex$y，开始=min（mex$ds），结束=max（mex$ds），频率=1））
拟合百分比布局（xaxis=x，yaxis=y，title=“ARIMA模型”）

我通过将软件包从prophet更改为forecast，并使用Plotly绘图解决了这个问题。我认为问题出在dyplot.prophet上，但对于Plotly和Forecast软件包，问题出在sol上

    ts_cases = ts(mex$y,ts(mex$y, start=min(mex$ds), end = max(mex$ds), frequency=1))

    fit <- auto.arima(ts_cases)
    f_arima<- forecast(fit, 20) # forecast

    # names
    f <- list(
      family = "Arial",
      size = 18,
      color = "#7f7f7f"
    )
    x <- list(
      title = "Tiempo en dias",
      titlefont = f
    )
    y <- list(
      title = "Numero de casos confirmados",
      titlefont = f
    )

    library(plotly)
    plot_ly() %>%
      add_lines(x = time(ts_cases), y = ts_cases,hoverinfo = "text",
                color = I("black"), name = "observed") %>%
      add_ribbons(x = time(f_arima$mean), ymin = f_arima$lower[, 2], ymax = f_arima$upper[, 2],
                  color = I("gray95"), name = "95% confidence") %>%
      add_ribbons(x = time(f_arima$mean), ymin = f_arima$lower[, 1], ymax = f_arima$upper[, 1],
                  color = I("gray80"), name = "80% confidence") %>%
      add_lines(x = time(f_arima$mean), y = f_arima$mean, color = I("blue"), name = "prediction")%>% layout(xaxis = x, yaxis = y,title= "ARIMA model")