Data cleaning action button into Shiny App not working












0















My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:




  1. upload file

  2. press clean to clean the data

  3. download cleaned file


Help would be much appreciated!



Data table form:



library(data.table)
library(DT)
runApp(shinyApp(

ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
data <- read.csv(inFile$datapath, header = TRUE)
data <- as.data.table(data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.table(dt)
dt1 <- dt[, splitletter:=substr(DocRef,1,1)]
dt2 <- dt1[splitletter == "B" | splitletter == "I"]
dt3 <- dt2[DocDate <= 20171231 & DocDate >= 20160101]
dt3 <- dt3[AcCurWTaxAmt>0 & HomeWTaxAmt<0,
HomeWTaxAmt:=abs(HomeWTaxAmt)]
dt3 <- dt3[AcCurWTaxAmt<0 & HomeWTaxAmt>0, HomeWTaxAmt:=HomeWTaxAmt*
(-1)]
dt3 <- dt3[AcCurWTaxAmt==0 & HomeWTaxAmt!=0, HomeWTaxAmt:=0]
dt3 <- dt3[AcCurWTaxAmt!=0 & HomeWTaxAmt==0, HomeWTaxAmt:=NA]
dt4 <- na.omit(dt3)
dt4 <- dt4[, AcCrAmt := AcCrIsMinus1 * AcCurWTaxAmt]
dt4 <- dt4[, splitletter:= NULL]
})
output$df_data_out <- DT::renderDataTable({
DT::datatable(myData())})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})

}))


Data frame form:



runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

tableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
df_data <- read.csv(inFile$datapath, header = TRUE)
df_data <- as.data.frame(df_data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.frame(data)
dt1[, splitletter] <- substr(dt$DocRef,1,1)
dt2 <- (dt1$splitletter == "B" | dt1$splitletter == "I")
dt3 <- (dt2$DocDate <= 20171231 & dt2$DocDate >= 20160101)
while(dt3$AcCurWTaxAmt>0 & dt$HomeWTaxAmt<0){
dt3$HomeWTaxAmt <- abs(dt3$HomeWTaxAmt)
}
while(dt3$AcCurWTaxAmt<0 & HomeWTaxAmt>0){
dt3$HomeWTaxAmt <- dt3$HomeWTaxAmt*(-1)
}
while(dt3$AcCurWTaxAmt==0 & HomeWTaxAmt!=0){
dt3$HomeWTaxAmt <- 0
}
while(dt3$AcCurWTaxAmt!=0 & HomeWTaxAmt==0){
dt3$HomeWTaxAmt<- NA
}
dt3 <- na.omit(dt3)
dt3[,AcCrAmt] <- dt3$AcCrIsMinus1 * dt3$HomeWTaxAmt
dt3$splitletter <- NULL
})

output$df_data_out <- renderTable({
myData()
})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))









share|improve this question























  • cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

    – JohnCoene
    Nov 14 '18 at 9:27













  • thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

    – Selina Fang
    Nov 14 '18 at 9:29


















0















My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:




  1. upload file

  2. press clean to clean the data

  3. download cleaned file


Help would be much appreciated!



Data table form:



library(data.table)
library(DT)
runApp(shinyApp(

ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
data <- read.csv(inFile$datapath, header = TRUE)
data <- as.data.table(data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.table(dt)
dt1 <- dt[, splitletter:=substr(DocRef,1,1)]
dt2 <- dt1[splitletter == "B" | splitletter == "I"]
dt3 <- dt2[DocDate <= 20171231 & DocDate >= 20160101]
dt3 <- dt3[AcCurWTaxAmt>0 & HomeWTaxAmt<0,
HomeWTaxAmt:=abs(HomeWTaxAmt)]
dt3 <- dt3[AcCurWTaxAmt<0 & HomeWTaxAmt>0, HomeWTaxAmt:=HomeWTaxAmt*
(-1)]
dt3 <- dt3[AcCurWTaxAmt==0 & HomeWTaxAmt!=0, HomeWTaxAmt:=0]
dt3 <- dt3[AcCurWTaxAmt!=0 & HomeWTaxAmt==0, HomeWTaxAmt:=NA]
dt4 <- na.omit(dt3)
dt4 <- dt4[, AcCrAmt := AcCrIsMinus1 * AcCurWTaxAmt]
dt4 <- dt4[, splitletter:= NULL]
})
output$df_data_out <- DT::renderDataTable({
DT::datatable(myData())})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})

}))


Data frame form:



runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

tableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
df_data <- read.csv(inFile$datapath, header = TRUE)
df_data <- as.data.frame(df_data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.frame(data)
dt1[, splitletter] <- substr(dt$DocRef,1,1)
dt2 <- (dt1$splitletter == "B" | dt1$splitletter == "I")
dt3 <- (dt2$DocDate <= 20171231 & dt2$DocDate >= 20160101)
while(dt3$AcCurWTaxAmt>0 & dt$HomeWTaxAmt<0){
dt3$HomeWTaxAmt <- abs(dt3$HomeWTaxAmt)
}
while(dt3$AcCurWTaxAmt<0 & HomeWTaxAmt>0){
dt3$HomeWTaxAmt <- dt3$HomeWTaxAmt*(-1)
}
while(dt3$AcCurWTaxAmt==0 & HomeWTaxAmt!=0){
dt3$HomeWTaxAmt <- 0
}
while(dt3$AcCurWTaxAmt!=0 & HomeWTaxAmt==0){
dt3$HomeWTaxAmt<- NA
}
dt3 <- na.omit(dt3)
dt3[,AcCrAmt] <- dt3$AcCrIsMinus1 * dt3$HomeWTaxAmt
dt3$splitletter <- NULL
})

output$df_data_out <- renderTable({
myData()
})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))









share|improve this question























  • cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

    – JohnCoene
    Nov 14 '18 at 9:27













  • thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

    – Selina Fang
    Nov 14 '18 at 9:29
















0












0








0








My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:




  1. upload file

  2. press clean to clean the data

  3. download cleaned file


Help would be much appreciated!



Data table form:



library(data.table)
library(DT)
runApp(shinyApp(

ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
data <- read.csv(inFile$datapath, header = TRUE)
data <- as.data.table(data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.table(dt)
dt1 <- dt[, splitletter:=substr(DocRef,1,1)]
dt2 <- dt1[splitletter == "B" | splitletter == "I"]
dt3 <- dt2[DocDate <= 20171231 & DocDate >= 20160101]
dt3 <- dt3[AcCurWTaxAmt>0 & HomeWTaxAmt<0,
HomeWTaxAmt:=abs(HomeWTaxAmt)]
dt3 <- dt3[AcCurWTaxAmt<0 & HomeWTaxAmt>0, HomeWTaxAmt:=HomeWTaxAmt*
(-1)]
dt3 <- dt3[AcCurWTaxAmt==0 & HomeWTaxAmt!=0, HomeWTaxAmt:=0]
dt3 <- dt3[AcCurWTaxAmt!=0 & HomeWTaxAmt==0, HomeWTaxAmt:=NA]
dt4 <- na.omit(dt3)
dt4 <- dt4[, AcCrAmt := AcCrIsMinus1 * AcCurWTaxAmt]
dt4 <- dt4[, splitletter:= NULL]
})
output$df_data_out <- DT::renderDataTable({
DT::datatable(myData())})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})

}))


Data frame form:



runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

tableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
df_data <- read.csv(inFile$datapath, header = TRUE)
df_data <- as.data.frame(df_data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.frame(data)
dt1[, splitletter] <- substr(dt$DocRef,1,1)
dt2 <- (dt1$splitletter == "B" | dt1$splitletter == "I")
dt3 <- (dt2$DocDate <= 20171231 & dt2$DocDate >= 20160101)
while(dt3$AcCurWTaxAmt>0 & dt$HomeWTaxAmt<0){
dt3$HomeWTaxAmt <- abs(dt3$HomeWTaxAmt)
}
while(dt3$AcCurWTaxAmt<0 & HomeWTaxAmt>0){
dt3$HomeWTaxAmt <- dt3$HomeWTaxAmt*(-1)
}
while(dt3$AcCurWTaxAmt==0 & HomeWTaxAmt!=0){
dt3$HomeWTaxAmt <- 0
}
while(dt3$AcCurWTaxAmt!=0 & HomeWTaxAmt==0){
dt3$HomeWTaxAmt<- NA
}
dt3 <- na.omit(dt3)
dt3[,AcCrAmt] <- dt3$AcCrIsMinus1 * dt3$HomeWTaxAmt
dt3$splitletter <- NULL
})

output$df_data_out <- renderTable({
myData()
})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))









share|improve this question














My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:




  1. upload file

  2. press clean to clean the data

  3. download cleaned file


Help would be much appreciated!



Data table form:



library(data.table)
library(DT)
runApp(shinyApp(

ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
data <- read.csv(inFile$datapath, header = TRUE)
data <- as.data.table(data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.table(dt)
dt1 <- dt[, splitletter:=substr(DocRef,1,1)]
dt2 <- dt1[splitletter == "B" | splitletter == "I"]
dt3 <- dt2[DocDate <= 20171231 & DocDate >= 20160101]
dt3 <- dt3[AcCurWTaxAmt>0 & HomeWTaxAmt<0,
HomeWTaxAmt:=abs(HomeWTaxAmt)]
dt3 <- dt3[AcCurWTaxAmt<0 & HomeWTaxAmt>0, HomeWTaxAmt:=HomeWTaxAmt*
(-1)]
dt3 <- dt3[AcCurWTaxAmt==0 & HomeWTaxAmt!=0, HomeWTaxAmt:=0]
dt3 <- dt3[AcCurWTaxAmt!=0 & HomeWTaxAmt==0, HomeWTaxAmt:=NA]
dt4 <- na.omit(dt3)
dt4 <- dt4[, AcCrAmt := AcCrIsMinus1 * AcCurWTaxAmt]
dt4 <- dt4[, splitletter:= NULL]
})
output$df_data_out <- DT::renderDataTable({
DT::datatable(myData())})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})

}))


Data frame form:



runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),

mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),

tableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$file
if (is.null(inFile)) return(NULL)
df_data <- read.csv(inFile$datapath, header = TRUE)
df_data <- as.data.frame(df_data)
})
eventReactive(input$Go, {
dt <- myData()
dt <- as.data.frame(data)
dt1[, splitletter] <- substr(dt$DocRef,1,1)
dt2 <- (dt1$splitletter == "B" | dt1$splitletter == "I")
dt3 <- (dt2$DocDate <= 20171231 & dt2$DocDate >= 20160101)
while(dt3$AcCurWTaxAmt>0 & dt$HomeWTaxAmt<0){
dt3$HomeWTaxAmt <- abs(dt3$HomeWTaxAmt)
}
while(dt3$AcCurWTaxAmt<0 & HomeWTaxAmt>0){
dt3$HomeWTaxAmt <- dt3$HomeWTaxAmt*(-1)
}
while(dt3$AcCurWTaxAmt==0 & HomeWTaxAmt!=0){
dt3$HomeWTaxAmt <- 0
}
while(dt3$AcCurWTaxAmt!=0 & HomeWTaxAmt==0){
dt3$HomeWTaxAmt<- NA
}
dt3 <- na.omit(dt3)
dt3[,AcCrAmt] <- dt3$AcCrIsMinus1 * dt3$HomeWTaxAmt
dt3$splitletter <- NULL
})

output$df_data_out <- renderTable({
myData()
})
output$downloadData <- downloadHandler(

filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))






r shiny






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asked Nov 14 '18 at 9:03









Selina FangSelina Fang

1




1













  • cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

    – JohnCoene
    Nov 14 '18 at 9:27













  • thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

    – Selina Fang
    Nov 14 '18 at 9:29





















  • cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

    – JohnCoene
    Nov 14 '18 at 9:27













  • thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

    – Selina Fang
    Nov 14 '18 at 9:29



















cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

– JohnCoene
Nov 14 '18 at 9:27







cleanedData <- eventReactive({...}) then use cleandata() instead of myData()

– JohnCoene
Nov 14 '18 at 9:27















thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

– Selina Fang
Nov 14 '18 at 9:29







thank you for your reply! but when i tried that, i obtained these errors: Warning: Error in $: object of type 'closure' is not subsettable 138: substr 137: eventReactiveHandler [#23] 93: cleanedData 92: renderTable [#45] 91: func 78: origRenderFunc 77: output$df_data_out 1: runApp

– Selina Fang
Nov 14 '18 at 9:29














1 Answer
1






active

oldest

votes


















0














Below is a working example. It's difficult to replicate things with an that takes a CSV as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive so I assume you are always passing it a specific CSV.



eventReactive is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive. You are trying to use eventReactive like observeEvent.



When people click the button eventReactive is triggered and returns a reactive which you do not use. The reactiveexpression object myData remains unchanged. If you do not use the output of eventReactive in any of your outputs (i.e.: output$df_data_out) then the reactive never runs...



Also note that your reactive expressions do not have explicit return.



library(shiny)

ui <- fluidPage(
selectInput("select", "select data", choices = c("cars", "iris")),
actionButton("clean", "Clean data"),
fluidRow(
column(6, tableOutput("original")),
column(6, tableOutput("cleaned"))
)
)

server <- function(input, output, session) {

orig_data <- reactive({
if(input$select == "cars")
return(cars)
else
return(iris)
})

cleaned_data <- eventReactive(input$clean, {
orig_data() %>%
head(5)
})

output$original <- renderTable({
orig_data()
})

output$cleaned <- renderTable({
cleaned_data()
})

}

shinyApp(ui, server)





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    1 Answer
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    1 Answer
    1






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    oldest

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    oldest

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    active

    oldest

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    0














    Below is a working example. It's difficult to replicate things with an that takes a CSV as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive so I assume you are always passing it a specific CSV.



    eventReactive is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive. You are trying to use eventReactive like observeEvent.



    When people click the button eventReactive is triggered and returns a reactive which you do not use. The reactiveexpression object myData remains unchanged. If you do not use the output of eventReactive in any of your outputs (i.e.: output$df_data_out) then the reactive never runs...



    Also note that your reactive expressions do not have explicit return.



    library(shiny)

    ui <- fluidPage(
    selectInput("select", "select data", choices = c("cars", "iris")),
    actionButton("clean", "Clean data"),
    fluidRow(
    column(6, tableOutput("original")),
    column(6, tableOutput("cleaned"))
    )
    )

    server <- function(input, output, session) {

    orig_data <- reactive({
    if(input$select == "cars")
    return(cars)
    else
    return(iris)
    })

    cleaned_data <- eventReactive(input$clean, {
    orig_data() %>%
    head(5)
    })

    output$original <- renderTable({
    orig_data()
    })

    output$cleaned <- renderTable({
    cleaned_data()
    })

    }

    shinyApp(ui, server)





    share|improve this answer




























      0














      Below is a working example. It's difficult to replicate things with an that takes a CSV as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive so I assume you are always passing it a specific CSV.



      eventReactive is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive. You are trying to use eventReactive like observeEvent.



      When people click the button eventReactive is triggered and returns a reactive which you do not use. The reactiveexpression object myData remains unchanged. If you do not use the output of eventReactive in any of your outputs (i.e.: output$df_data_out) then the reactive never runs...



      Also note that your reactive expressions do not have explicit return.



      library(shiny)

      ui <- fluidPage(
      selectInput("select", "select data", choices = c("cars", "iris")),
      actionButton("clean", "Clean data"),
      fluidRow(
      column(6, tableOutput("original")),
      column(6, tableOutput("cleaned"))
      )
      )

      server <- function(input, output, session) {

      orig_data <- reactive({
      if(input$select == "cars")
      return(cars)
      else
      return(iris)
      })

      cleaned_data <- eventReactive(input$clean, {
      orig_data() %>%
      head(5)
      })

      output$original <- renderTable({
      orig_data()
      })

      output$cleaned <- renderTable({
      cleaned_data()
      })

      }

      shinyApp(ui, server)





      share|improve this answer


























        0












        0








        0







        Below is a working example. It's difficult to replicate things with an that takes a CSV as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive so I assume you are always passing it a specific CSV.



        eventReactive is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive. You are trying to use eventReactive like observeEvent.



        When people click the button eventReactive is triggered and returns a reactive which you do not use. The reactiveexpression object myData remains unchanged. If you do not use the output of eventReactive in any of your outputs (i.e.: output$df_data_out) then the reactive never runs...



        Also note that your reactive expressions do not have explicit return.



        library(shiny)

        ui <- fluidPage(
        selectInput("select", "select data", choices = c("cars", "iris")),
        actionButton("clean", "Clean data"),
        fluidRow(
        column(6, tableOutput("original")),
        column(6, tableOutput("cleaned"))
        )
        )

        server <- function(input, output, session) {

        orig_data <- reactive({
        if(input$select == "cars")
        return(cars)
        else
        return(iris)
        })

        cleaned_data <- eventReactive(input$clean, {
        orig_data() %>%
        head(5)
        })

        output$original <- renderTable({
        orig_data()
        })

        output$cleaned <- renderTable({
        cleaned_data()
        })

        }

        shinyApp(ui, server)





        share|improve this answer













        Below is a working example. It's difficult to replicate things with an that takes a CSV as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive so I assume you are always passing it a specific CSV.



        eventReactive is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive. You are trying to use eventReactive like observeEvent.



        When people click the button eventReactive is triggered and returns a reactive which you do not use. The reactiveexpression object myData remains unchanged. If you do not use the output of eventReactive in any of your outputs (i.e.: output$df_data_out) then the reactive never runs...



        Also note that your reactive expressions do not have explicit return.



        library(shiny)

        ui <- fluidPage(
        selectInput("select", "select data", choices = c("cars", "iris")),
        actionButton("clean", "Clean data"),
        fluidRow(
        column(6, tableOutput("original")),
        column(6, tableOutput("cleaned"))
        )
        )

        server <- function(input, output, session) {

        orig_data <- reactive({
        if(input$select == "cars")
        return(cars)
        else
        return(iris)
        })

        cleaned_data <- eventReactive(input$clean, {
        orig_data() %>%
        head(5)
        })

        output$original <- renderTable({
        orig_data()
        })

        output$cleaned <- renderTable({
        cleaned_data()
        })

        }

        shinyApp(ui, server)






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 14 '18 at 9:59









        JohnCoeneJohnCoene

        925616




        925616






























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