根据数据表的特定行选择的特定列子集数据框
Subset a dataframe based on certain column of certain row selection of a datatable
我有下面的 shiny
应用程序,当我点击第一个 table 的一行时,我应该得到 species
列的对应值。然后使用这个值,我应该根据其 species
列对第二个数据帧 df
进行子集化。
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(DT::dataTableOutput('tableId'),
dataTableOutput("celltext")),
server = function(input, output) {
output$tableId = DT::renderDataTable(
iris[,c(1,5)], selection = list(target = 'row',mode="single")
)
species<-c("setosa","setosa","virginica","virginica")
flower<-c("a","b","c","d")
score<-c(7,5,6,9)
df<-data.frame(species,flower,score)
output$celltext <- renderDataTable({
cell <- input$tableId_rows_selected
df<-df[df$species == iris[row]
})
}
)
试试这个
shinyApp(
ui = fluidPage(DT::dataTableOutput('tableId'),
DTOutput("celltext")),
server = function(input, output) {
output$tableId = DT::renderDataTable(
iris[,c(1,5)], selection = list(target = 'row',mode="single")
)
species<-c("setosa","setosa","virginica","virginica")
flower<-c("a","b","c","d")
score<-c(7,5,6,9)
df<-data.frame(species,flower,score)
output$celltext <- renderDT({
cell <- input$tableId_rows_selected
dat<-df[df$species %in% iris[cell,5],]
dat
})
}
)
我有下面的 shiny
应用程序,当我点击第一个 table 的一行时,我应该得到 species
列的对应值。然后使用这个值,我应该根据其 species
列对第二个数据帧 df
进行子集化。
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(DT::dataTableOutput('tableId'),
dataTableOutput("celltext")),
server = function(input, output) {
output$tableId = DT::renderDataTable(
iris[,c(1,5)], selection = list(target = 'row',mode="single")
)
species<-c("setosa","setosa","virginica","virginica")
flower<-c("a","b","c","d")
score<-c(7,5,6,9)
df<-data.frame(species,flower,score)
output$celltext <- renderDataTable({
cell <- input$tableId_rows_selected
df<-df[df$species == iris[row]
})
}
)
试试这个
shinyApp(
ui = fluidPage(DT::dataTableOutput('tableId'),
DTOutput("celltext")),
server = function(input, output) {
output$tableId = DT::renderDataTable(
iris[,c(1,5)], selection = list(target = 'row',mode="single")
)
species<-c("setosa","setosa","virginica","virginica")
flower<-c("a","b","c","d")
score<-c(7,5,6,9)
df<-data.frame(species,flower,score)
output$celltext <- renderDT({
cell <- input$tableId_rows_selected
dat<-df[df$species %in% iris[cell,5],]
dat
})
}
)