通过动作按钮将反应表传递给要打印的功能 [英] Pass reactive table to function to be printed via action button
本文介绍了通过动作按钮将反应表传递给要打印的功能的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个R shinyashboard,其中可以编辑表,然后我希望将新表传递给函数agree()
,以便在单击操作按钮时计算要打印的统计数据。我在应用程序的renderPrint
框中收到以下错误,并假设我的代码中可能有一些错误:
应用程序上的renderPrint框中的错误消息:
structure(function (...) ,{, if (length(outputArgs) != 0 && !hasExecuted$get()) {, warning("Unused argument: outputArgs. The argument outputArgs is only ", , "meant to be used when embedding snippets of Shiny code in an ", , "R Markdown code chunk (using runtime: shiny). When running a ", , "full Shiny app, please set the output arguments directly in ", , "the corresponding output function of your UI code."), hasExecuted$set(TRUE), }, if (is.null(formals(renderFunc))) , renderFunc(), else renderFunc(...),}, class = "function", outputFunc = function (outputId, placeholder = FALSE) ,{, pre(id = outputId, class = "shiny-text-output", class = if (!placeholder) , "noplaceholder"),}, outputArgs = list(), hasExecuted = <environment>, cacheHint = list(, label = "renderPrint", origUserExpr = agree(as.data.frame(table1))))
下面是我的代码(我有3个表项,但我只专注于让第一个表项工作:tabName = "2int"
)。问题出在output$irr1
的服务器代码中。可以使用BASERcor()
函数代替agree()
包中的irr
进行测试。只需将更新后的表保存为包含所有数字或矩阵的数据帧,即可使用agree()
函数正常运行。
library(shiny)
library(irr)
library(DT)
library(dplyr)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(title = "Interview Reliability"),
dashboardSidebar(
sidebarMenu(
menuItem("Two Interviewers",
tabName = "2int",
icon = icon("glass-whiskey")),
menuItem("Three Interviewers",
tabName = "3int",
icon = icon("glass-whiskey")),
menuItem("Four Interviewers",
tabName = "4int",
icon = icon("glass-whiskey"))
)
),
dashboardBody(
tabItems(
tabItem(tabName = "2int",
fluidRow(box(sliderInput("obs1", "Number of Interview Questions:",
value = 4,
min = 4,
max = 12,
step = 1))),
box(dataTableOutput("table1")),
box(verbatimTextOutput("irr1")),
box(actionButton("calc1", "Calculate"))
),
tabItem(tabName = "3int",
box(sliderInput("obs2", "Number of Interview Questions:",
value = 4,
min = 4,
max = 12,
step = 1))
),
tabItem(tabName = "4int",
box(sliderInput("obs3", "Number of Interview Questions:",
value = 4,
min = 4,
max = 12,
step = 1)),
)
)
)
)
server <- function(input, output) {
tablevalues <- reactiveValues(df = NULL)
observeEvent(input$obs1, {
tablevalues$df <- matrix(NA, nrow = input$obs1, ncol = 2,
dimnames = list(1:input$obs1, c("Interviewer 1", "Interviewer 2")))
})
output$table1 <- renderDT(tablevalues$df, escape = FALSE, selection = 'none', editable=TRUE)
output$irr1 <- eventReactive(input$calc1, {
renderPrint(agree(as.data.frame(table1)))
})
}
shinyApp(ui = ui, server = server)
推荐答案
您在这里混在一起,因此您的语法不正确。试试这个
server <- function(input, output) {
tablevalues <- reactiveValues(df = NULL)
observeEvent(input$obs1, {
tablevalues$df <- matrix(NA, nrow = input$obs1, ncol = 2,
dimnames = list(1:input$obs1, c("Interviewer 1", "Interviewer 2")))
})
output$table1 <- renderDT(tablevalues$df, escape = FALSE, selection = 'none', editable=TRUE)
### update tablevalues$df with all the edits
observeEvent(input$table1_cell_edit,{
info = input$table1_cell_edit
str(info)
i = info$row
j = info$col
v = as.numeric(info$value) ### change it to info$value if your function does not need it to be numeric
tablevalues$df[i, j] <<- DT::coerceValue(v, tablevalues$df[i, j])
})
mycor <- eventReactive(input$calc1, {
cor(tablevalues$df)
})
output$irr1 <- renderPrint({mycor()})
}
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