Data cleaning action button into Shiny App not working
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:
- upload file
- press clean to clean the data
- 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$downloadData <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))
r shiny
add a comment |
My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:
- upload file
- press clean to clean the data
- download cleaned file
Help would be much appreciated!
Data table form:
library(data.table)
library(DT)
runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),
mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),
DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$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
cleanedData <- eventReactive({...})
then usecleandata()
instead ofmyData()
– 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
add a comment |
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:
- upload file
- press clean to clean the data
- 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$downloadData <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".csv", sep="")
},
content = function(file) {
write.csv(myData(), file)
})
}))
r shiny
My code is able to upload the csv / text file but not able to clean the data when i press the 'clean' action button. I am not sure what is the issue, when I tried it in both data table and data frame form both does not work. My code's purpose is for the user to:
- upload file
- press clean to clean the data
- download cleaned file
Help would be much appreciated!
Data table form:
library(data.table)
library(DT)
runApp(shinyApp(
ui=(fluidPage(
titlePanel("Clean your data!"),
mainPanel(
fileInput("file", "Upload file"),
actionButton("Go", "Clean!"),
DT::dataTableOutput("df_data_out"),
downloadButton("downloadData","Download")
)
)),
server <- function(input, output){
myData <- reactive({
inFile <- input$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
r shiny
asked Nov 14 '18 at 9:03
Selina FangSelina Fang
1
1
cleanedData <- eventReactive({...})
then usecleandata()
instead ofmyData()
– 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
add a comment |
cleanedData <- eventReactive({...})
then usecleandata()
instead ofmyData()
– 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
add a comment |
1 Answer
1
active
oldest
votes
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 reactive
expression 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$cleaned <- renderTable({
cleaned_data()
})
}
shinyApp(ui, server)
add a comment |
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1 Answer
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Below is a working example. It's difficult to replicate things with an that takes a CSV
as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive
so I assume you are always passing it a specific CSV
.
eventReactive
is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive
. You are trying to use eventReactive
like observeEvent
.
When people click the button eventReactive
is triggered and returns a reactive
which you do not use. The reactive
expression object myData
remains unchanged. If you do not use the output of eventReactive
in any of your outputs (i.e.: output$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)
add a comment |
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 reactive
expression 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$cleaned <- renderTable({
cleaned_data()
})
}
shinyApp(ui, server)
add a comment |
Below is a working example. It's difficult to replicate things with an that takes a CSV
as input as we do not know what you chuck in it. Moreover you are referencing columns by name in your eventReactive
so I assume you are always passing it a specific CSV
.
eventReactive
is, well, a reactive function, only it takes also takes an expression that triggers it. As such, it returns a reactive expression just like reactive
. You are trying to use eventReactive
like observeEvent
.
When people click the button eventReactive
is triggered and returns a reactive
which you do not use. The reactive
expression object myData
remains unchanged. If you do not use the output of eventReactive
in any of your outputs (i.e.: output$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)
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 reactive
expression 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)
answered Nov 14 '18 at 9:59
JohnCoeneJohnCoene
925616
925616
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cleanedData <- eventReactive({...})
then usecleandata()
instead ofmyData()
– 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