创建新数据框 - 为另一列减去一列
我正在尝试制作一个Shiny应用程序，用户可以在其中选择要从另一个列中减去列并写入列的名称。我因打印数据帧而陷入困境，可能是因为Shiny不想按照我想要的方式考虑列。有没有人知道如何按输入变量选择列？
通常，我想在df中仅包含用户指定的样本，例如在提供的打印屏幕中（应忽略Sample3 / 4为NULL）。有没有人有任何建议如何处理这个问题？
以下是我的代码的一部分：
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
column(
width = 3,
div(style = "white-space: nowrap;",
div(style = "white-space: nowrap;",
h5(textInput("name1", label = "Sample 1 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam1", label = "Sample 1",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla1", label = "Blank 1",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name2", label = "Sample 2 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam2", label = "Sample 2",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla2", label = "Blank 2",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name3", label = "Sample 3 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam3", label = "Sample 3",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla3", label = "Blank 3",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name4", label = "Sample 4 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam4", label = "Sample 4",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla4", label = "Blank 4",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
actionButton("update", "Update", class = "btn-primary",style='padding:4px; font-size:120%')
)))),
mainPanel(
DT::dataTableOutput("contents"),
plotOutput("plot_preview", height = "auto")
)))
server <- function(input, output, session) {
Layout <- c("A", " B", " A", "B")
col1 <- c(0.84, 0.65, 0.97, 0.81)
col2 <- c(0.43,0.55,0.53,0.66)
col3 <- c(0.74, 0.75, 0.87, 0.71)
df <- data.frame(Layout, col1, col2, col3)
cols <- colnames(df)
cols <- c("NULL", cols[2:4])
updateSelectInput(session, "sam1", choices=cols)
updateSelectInput(session, "sam2", choices=cols)
updateSelectInput(session, "sam3", choices=cols)
updateSelectInput(session, "sam4", choices=cols)
updateSelectInput(session, "bla1", choices=cols)
updateSelectInput(session, "bla2", choices=cols)
updateSelectInput(session, "bla3", choices=cols)
updateSelectInput(session, "bla4", choices=cols)
## take a colum choosed before and substract the blank - save as one column
observeEvent(input$update,
{mydatanew <- reactive(
mydatanew <- data.frame(input$name1 = input$sam1 - input$bla1, input$name2 = input$sam2 - input$bla2))
output$contents2 <- DT::renderDataTable( DT::datatable(mydatanew()))
}
)
output$contents <- DT::renderDataTable(df)
}
shinyApp(ui, server)
示例用户输入：
1 个答案:
答案 0 :(得分：1)
您可以使用reactiveVal来保存数据框并进行更新。使用observeEvent添加列并将修改后的数据帧存储回reactiveVal。
此外，为了使事情变得更容易，您可以将输入调用为input[[x]]，其中x是字符串。所以我们可以循环输入而不是输入所有内容。您也可以将它用于updateSelectInput语句。按selectInput后重置actionButton元素也许会很好。您可以通过在lapply(1:4,function(x) {updateSelectInput(session,paste0('bla',x),selected='NULL')})
的末尾添加observeEvent等行来完成此操作。
以下是一个工作示例。希望这可以帮助！
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
column(
width = 3,
div(style = "white-space: nowrap;",
div(style = "white-space: nowrap;",
h5(textInput("name1", label = "Sample 1 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam1", label = "Sample 1",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla1", label = "Blank 1",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name2", label = "Sample 2 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam2", label = "Sample 2",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla2", label = "Blank 2",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name3", label = "Sample 3 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam3", label = "Sample 3",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla3", label = "Blank 3",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
div(style = "white-space: nowrap;",
h5(textInput("name4", label = "Sample 4 Name", value = "Enter name..."),style="display: inline-block; width: 100%;"),
h5(selectInput(inputId = "sam4", label = "Sample 4",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;"),
h5(selectInput(inputId = "bla4", label = "Blank 4",c(), multiple = FALSE, selectize = TRUE),style="display:inline-block; width: 100%;")
),
actionButton("update", "Update", class = "btn-primary",style='padding:4px; font-size:120%')
)))),
mainPanel(
DT::dataTableOutput("contents"),
plotOutput("plot_preview", height = "auto")
)))
server <- function(input, output, session) {
Layout <- c("A", " B", " A", "B")
col1 <- c(0.84, 0.65, 0.97, 0.81)
col2 <- c(0.43,0.55,0.53,0.66)
col3 <- c(0.74, 0.75, 0.87, 0.71)
df <- data.frame(Layout, col1, col2, col3)
cols <- colnames(df)
cols <- c("NULL", cols[2:4])
updateSelectInput(session, "sam1", choices=cols)
updateSelectInput(session, "sam2", choices=cols)
updateSelectInput(session, "sam3", choices=cols)
updateSelectInput(session, "sam4", choices=cols)
updateSelectInput(session, "bla1", choices=cols)
updateSelectInput(session, "bla2", choices=cols)
updateSelectInput(session, "bla3", choices=cols)
updateSelectInput(session, "bla4", choices=cols)
reval_df <- reactiveVal(df)
## take a colum choosed before and substract the blank - save as one column
observeEvent(input$update, {
df <- reval_df()
for (i in 1:4)
{
if(input[[paste0('sam',i)]]!='NULL' & input[[paste0('bla',i)]]!='NULL')
{
print(i)
df[[input[[paste0('name',i)]]]] = df[[input[[paste0('sam',i)]]]]- df[[input[[paste0('bla',i)]]]]
}
}
reval_df(df)
# reset inputs
lapply(1:4,function(x) {updateSelectInput(session,paste0('bla',x),selected='NULL')})
lapply(1:4,function(x) {updateSelectInput(session,paste0('name',x),selected='NULL')})
lapply(1:4,function(x) {updateSelectInput(session,paste0('sam',x),selected='NULL')})
})
output$contents <- DT::renderDataTable(reval_df())
}
shinyApp(ui, server)
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