我一直在开发一个闪亮的应用程序，该应用程序使用软件包中的“ auto.arima”以及xreg参数。由于某些原因，xreg函数（采用数据框或矩阵）已停止接受反应式函数的输出-这是一个子集数据框。解决方法很糟糕，因此我希望有人知道解决此问题的好方法。
Shiny产生此错误：“ xreg应该是数字矩阵或向量”
我尝试过： -重新安装：预测，闪亮，dplyr，并完成擦拭R和Rstudio的操作，然后从头开始重新安装。 -我曾尝试将预测包从6个月前回退到构建版本（当时该版本有效） -我曾尝试将R从6个月前回滚到版本号（当时该版本有效） -我已经尝试使用其他预测软件包；例如，bsts似乎可以正常工作
这是一些最低限度可行的闪亮代码。创建具有3列数据的.csv，请确保命名这些列，例如“ y”，“ x1”和“ x2”。
library(shiny)
library(forecast)
library(dplyr)
ui <- fluidPage(
# Application title
titlePanel("arima test"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
# Input: Select a file ----
fileInput("uploaded_file", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
uiOutput("dv_dropdown"),
uiOutput("iv_checkbox")
),
# Show a plot of the generated distribution
mainPanel(
verbatimTextOutput("model"),
tableOutput('data')
)
)
)
server <- function(input, output) {
# Read .csv file ----
df <- reactive({
req(input$uploaded_file)
read.csv(input$uploaded_file$datapath,
header = TRUE)
})
# Dynamically generate a list of the dependent variables for the user to choose from the uploaded .csv ----
output$dv_dropdown <- renderUI({
selectInput(inputId = "select_dependents",
label = "dependent time series:",
choices = names(df()[,c(-1)])
)
})
# Dynamically generate a list of the independent variables for the user to choose ----
output$iv_checkbox <- renderUI({
checkboxGroupInput(inputId = "select_ivs",
label = "Select Independent variables:",
choices = setdiff(names(df()[,c(-1)]), input$select_dependents),
selected = setdiff(names(df()), input$select_dependents))
})
####### CREATE REACTIVE DATA OBJECTS BASED ON FILTERS #################
# this creates a dataframe of the dependent time series
df_sel <- reactive({
req(input$select_dependents)
df_sel <- df() %>% select(input$select_dependents)
})
# this creates a dataframe of the dependent time series
df_indep <- reactive({
req(input$select_ivs)
df_indep <- df() %>% select(input$select_ivs)
})
#proof that the independent variables are in fact in a matrix/dataframe
output$data <- renderTable({
df_indep()
})
#This is the TEST ARIMA Model
modela <- reactive({
modela <- auto.arima(df_sel(), xreg = df_indep()) #model with regressors
#modela <- auto.arima(df_sel()) #model without regressors to demonstrate that it actually works without the xreg argument
})
#this is the solution to the xreg problem above, but there's no reason I can think of that xreg shouldn't be able to take a reactive data object like it was doing before...
#x = as.matrix(as.data.frame(lapply(df_indep(), as.numeric)))
# then set: xreg = x
output$model <- renderPrint({
summary(modela())
})
}
# Run the application
shinyApp(ui = ui, server = server)