问题描述
我正在处理一个可编辑的表格，其中包含针对列和行的反应式过滤器。我实现了 YBS 提供的代码，它看起来完全符合我的要求并正确显示。 我的问题是，我无法访问服务器端的更新数据框。我想要一个数据框的原因是我有更改单元格的信息。每个单元格值（和引用）将作为表格的输入。 我尝试在 my_matrix_cell_edit 和 rbind 上使用 observeEvent 创建不同的数据帧，但没有结果
下面是 reprex，当你运行它时，在控制台端我得到“NULL”。 这是由不断重置它的 df
感谢大家的帮助！
country_matrix <- structure(list(industry_group = c("Financial Institutions Group (fig)","Financial Institutions Group (fig)","Financial Institutions Group (fig)"),sector = c("Housing Finance","climate Finance","Trade Finance","Housing Finance","Housing Finance"),component = c("Stakeholder","Stakeholder","Environment & Social","Economywide"),subcomponent = c("Access","Credit: Mitigation","Environment",Afghanistan = c(0,0),Angola = c(0,Albania = c(0,Argentina = c(0,Armenia = c(0,`American Samoa` = c(0,Azerbaijan = c(0,Burundi = c(0,Benin = c(0,`Burkina Faso` = c(0,Bangladesh = c(0,Bulgaria = c(0,`Bosnia and Herzegovina` = c(0,Belarus = c(0,Belize = c(0,Bolivia = c(0,Brazil = c(0,Barbados = c(0,Bhutan = c(0,Botswana = c(0,`Central African Republic` = c(0,0)
),row.names = c(NA,6L),class = "data.frame")
###
countrycmx <- names(country_matrix)[5:25]
ui <- fluidPage(
fluidRow(
column(12,column(
2,pickerInput(
"sectormx",'Sector',selected = "climate Finance",choices = unique(country_matrix$sector),#selected = c('SME Finance','Insurance','climate Finance'),multiple = TRUE)
),pickerInput(
'componentmx','Component',choices = unique(country_matrix$component),selected = 'Stakeholder',multiple = TRUE,options = pickerOptions(
actionsBox = TRUE,liveSearch = TRUE,liveSearchPlaceholder = 'Search...',liveSearchnormalize = TRUE,liveSearchStyle = 'contains'
),width = "100%"
)
),pickerInput(
'subcomponentmx','Subcomponent',choices = unique(country_matrix$subcomponent),selected = 'Quality',width = "100%"
)),pickerInput(
'countrymx','Country',choices = countrycmx,selected = 'Albania',width = "100%"
))
#actionButton("update","Update Data set",class = "btn-primary",style='padding:4px; font-size:120%')
),# Show a plot of the generated distribution
column(12,DTOutput("my_matrix")
)
)
)
server <- function(input,output,session) {
matrix <- reactive({
req(input$sectormx,input$componentmx,input$subcomponentmx)
country_matrix %>%
dplyr::filter(
sector %in% input$sectormx#,) %>%
select(sector,component,subcomponent,input$countrymx)
})
df <- reactiveValues(data=NULL)
observe({df$data <- matrix()})
output$my_matrix <- renderDT(df$data,editable = TRUE,rownames = FALSE)
#observeEvent(input$my_matrix_cell_edit,{
observeEvent(input$my_matrix_cell_edit,{
info = input$my_matrix1_cell_edit
str(info)
i = info$row
j = info$col + 1
v = info$value
df$data[i,j] <<- editData(info,df$data[i,j])
})
}
shinyApp(ui = ui,server = server)
解决方法
试试这个
country_matrix <- structure(list(industry_group = c("Financial Institutions Group (FIG)","Financial Institutions Group (FIG)","Financial Institutions Group (FIG)"),sector = c("Housing Finance","Climate Finance","Trade Finance","Housing Finance","Housing Finance"),component = c("Stakeholder","Stakeholder","Environment & Social","Economywide"),subcomponent = c("Access","Credit: Mitigation","Environment",Afghanistan = c(1,1,1),Angola = c(1,Albania = c(1,Argentina = c(1,Armenia = c(1,`American Samoa` = c(1,Azerbaijan = c(1,Burundi = c(1,Benin = c(1,`Burkina Faso` = c(1,Bangladesh = c(1,Bulgaria = c(1,`Bosnia and Herzegovina` = c(1,Belarus = c(1,Belize = c(1,Bolivia = c(1,Brazil = c(1,Barbados = c(1,Bhutan = c(1,Botswana = c(1,`Central African Republic` = c(1,1)
),row.names = c(NA,6L),class = "data.frame")
###
countrycmx <- names(country_matrix)[5:25]
ui <- fluidPage(
# Application title
#titlePanel("Old Faithful Geyser Data"),# Sidebar with a slider input for number of bins
fluidRow(
column(12,column(
2,pickerInput(
"sectormx",'Sector',selected = "Climate Finance",choices = unique(country_matrix$sector),#selected = c('SME Finance','Insurance','Climate Finance'),multiple = TRUE)
),pickerInput(
'componentmx','Component',choices = unique(country_matrix$component),selected = 'Stakeholder',multiple = TRUE,options = pickerOptions(
actionsBox = TRUE,liveSearch = TRUE,liveSearchPlaceholder = 'Search...',liveSearchNormalize = TRUE,liveSearchStyle = 'contains'
),width = "100%"
)
),pickerInput(
'subcomponentmx','Subcomponent',choices = unique(country_matrix$subcomponent),selected = 'Quality',width = "100%"
)),pickerInput(
'countrymx','Country',choices = countrycmx,selected = 'Albania',width = "100%"
))
#selectInput("select","Select country",c('col1','col2'),multiple = TRUE),#actionButton("update","Update Data set",class = "btn-primary",style='padding:4px; font-size:120%')
),# Show a plot of the generated distribution
column(12,DTOutput("my_matrix")
#DTOutput("table")
)
)
)
server <- function(input,output,session) {
matrix <- reactive({
req(input$sectormx,input$componentmx,input$subcomponentmx)
country_matrix %>%
dplyr::filter(
sector %in% input$sectormx#,#component %in% input$componentmx,#subcomponent %in% input$subcomponentmx
) %>%
select(sector,component,subcomponent,input$countrymx)
})
df <- reactiveValues(data=NULL)
observe({df$data <- matrix()})
output$my_matrix <- renderDT(df$data,editable = TRUE,rownames = FALSE)
observeEvent(input$my_matrix_cell_edit,{
info = input$my_matrix1_cell_edit
str(info)
i = info$row
j = info$col + 1
v = info$value
df$data[i,j] <<- DT:::coerceValue(v,df$data[i,j])
#replaceData(proxy,x,resetPaging = FALSE,rownames = FALSE)
})
}
shinyApp(ui = ui,server = server)
感谢 YBS 和一些额外的帮助，我得到了一个完整的解决方案：
library(data.table)
library(DT)
library(dplyr)
library(tidyr)
country_matrix <- structure(list(industry_group = c("Financial Institutions Group (FIG)",Afghanistan = c(0,0),Angola = c(0,Albania = c(0,Argentina = c(0,Armenia = c(0,`American Samoa` = c(0,Azerbaijan = c(0,Burundi = c(0,Benin = c(0,`Burkina Faso` = c(0,Bangladesh = c(0,Bulgaria = c(0,`Bosnia and Herzegovina` = c(0,Belarus = c(0,Belize = c(0,Bolivia = c(0,Brazil = c(0,Barbados = c(0,Bhutan = c(0,Botswana = c(0,`Central African Republic` = c(0,0)
),class = "data.frame")
###
countrycmx <- names(country_matrix)[5:25]
ui <- fluidPage(
fluidRow(
column(12,width = "100%"
))
#actionButton("update",DTOutput("my_matrix")
)
)
)
server <- function(input,input$countrymx)
})
df <- reactiveVal(NULL)
observe({
df(matrix())
})
output$my_matrix <- renderDT(df(),{
#browser()
info = input$my_matrix_cell_edit
print(info)
t <- df()
t[info$row,info$col+1] <- as.numeric(info$value)
df(t)
})
}
shinyApp(ui = ui,server = server)