I have a shiny app with 3 datatables. The first one contains only the 5th row with Species
the 2nd table contains some random Species
and the third table should get the selected cells from the first 2 tables and combines them into a new table. While the first seems to works fine the 2nd table selection seems to be wrong and that happens because it subsets by cell position and not by cell value.
library(shiny)
library(DT)
data("mtcars")
ui <- shinyUI(
fluidRow(
DT::dataTableOutput("myDatatable"),
DT::dataTableOutput("myDatatable2"),
DT::dataTableOutput("myDatatable3")
)
)
server <- shinyServer(function(input, output, session) {
output$myDatatable <- DT::renderDataTable(matrix(iris[,5]),
selection=list( target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable2 <- DT::renderDataTable(matrix(iris[c(25,78,67,45,90,66,78,9,8),5]),
selection=list(mode="single", target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable3 <- DT::renderDataTable(iris[c(input$myDatatable_cells_selected,input$myDatatable2_cells_selected),],
server = FALSE,
rownames=FALSE)
})
shinyApp(ui, server)
See code below. You were trying to subset the data versus creating a new dataframe(which from above sounds like what you want) + you want to use [tablename]_cell_clicked
which has a row
, column
, value
list versus [tablename]_cells_selected
.
library(shiny)
library(DT)
data("mtcars")
ui <- shinyUI(
fluidRow(
DT::dataTableOutput("myDatatable"),
DT::dataTableOutput("myDatatable2"),
DT::dataTableOutput("myDatatable3")
)
)
server <- shinyServer(function(input, output, session) {
dat1 <- reactive({
matrix(iris[,5])
})
dat2 <- reactive({
matrix(iris[c(25,78,67,45,90,66,78,9,8),5])
})
dat3 <- reactive({
temp <- data.frame(results = c(input$myDatatable_cell_clicked$value, input$myDatatable2_cell_clicked$value))
})
output$myDatatable <- DT::renderDataTable(dat1(),
selection=list( target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable2 <- DT::renderDataTable(dat2(),
selection=list(mode="single", target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable3 <- DT::renderDataTable(dat3(),
server = FALSE,
rownames=FALSE)
})
shinyApp(ui, server)
**Updated based on OP's clarification
library(shiny)
library(DT)
data("mtcars")
ui <- shinyUI(
fluidRow(
DT::dataTableOutput("myDatatable"),
DT::dataTableOutput("myDatatable2"),
DT::dataTableOutput("myDatatable3")
)
)
server <- shinyServer(function(input, output, session) {
dat1 <- reactive({
matrix(iris[,5])
})
dat2 <- reactive({
matrix(iris[c(25,78,67,45,90,66,78,9,8),5])
})
dat3 <- reactive({
dat1row <- input$myDatatable_cells_selected
dat2row <- c(25,78,67,45,90,66,78,9,8)[c(input$myDatatable2_cell_clicked$row)]
temp <- iris[c(dat1row, dat2row),]
})
output$myDatatable <- DT::renderDataTable(dat1(),
selection=list( target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable2 <- DT::renderDataTable(dat2(),
selection=list(mode="single", target="cell"),
server = FALSE,
rownames=FALSE)
output$myDatatable3 <- DT::renderDataTable(dat3(),
server = FALSE,
rownames=FALSE)
})
shinyApp(ui, server)
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