R Shiny SelectizeInput：从分组选择中传递值不起作用
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【中文标题】R Shiny SelectizeInput：从分组选择中传递值不起作用【英文标题】：R Shiny SelectizeInput: Passing values from grouped choices not working 【发布时间】：2021-01-08 03:45:40 【问题描述】：按照此链接R shiny selectInput: how to search group name/label 中给出的答案，我创建了一个闪亮的应用程序，示例如下：
编辑 请注意，SQLDF 部分代表实际平台中的 mysql 查询。因此，我通常希望将 input$Search * 的值传递给 MySQL 查询。
library(shiny)
library(tidyverse)
library(sqldf)
library(DT)
library(stringr)
df <- data.frame(empName = c("Jon", "Bill", "Maria", "Dan", "Ken", "Fay"),
empID = c("J111", "B222", "M333", "D444", "K555", "F666"),
empAge = c(23, 41, 32, 28, 35, 38),
empSalary = c(21000, 23400, 26800, 27200, 30500, 32000),
empGroup = c("Employee", "Employee", "Manager", "Manager", "Director","Director")
)
df$empGroup <- as.factor(as.character(df$empGroup))
x <- as.vector(levels(df$empGroup))
groups <- function(x)
for(i in 1:length(x))
if(i == 1)
savelist <-c()
newlist <- list(list(value = x[i], label=x[i]))
savelist <- c(savelist, newlist)
else
newlist <- list(list(value = x[i], label=x[i]))
savelist <- c(savelist, newlist)
return(savelist)
shinyApp(
ui = fluidPage(
selectizeInput('Search', NULL, NULL, multiple = TRUE, options = list(
placeholder = 'Select name',
# predefine all option groups
optgroups = lapply(unique(df$empGroup), function(x)
list(value = as.character(x), label = as.character(x))
),
# what field to sort according to groupes defined in 'optgroups'
optgroupField = 'empGroup',
# you can search the data based on these fields
searchField = c('empName', 'empGroup', 'empID'),
# the label that will be shown once value is selected
labelField= 'empName',
# (each item is a row in data), which requires 'value' column (created by cbind at server side)
render = I("
option: function(item, escape)
return '<div>' + escape(item.empName) +'</div>';
")
)),
hr(),
fluidRow(
column(6, DT::dataTableOutput("table1")))
),
server = function(input, output, session)
updateSelectizeInput(session, 'Search', choices = cbind(df, value =
seq_len(nrow(df))),
server = TRUE)
df1 <- reactive (
Selected <-df %>% filter(empName %in% input$Search)%>% select(empID)
SelectedID<-sapply(Selected, as.character)
N<-stringr::str_c(stringr::str_c("'", SelectedID, "'"), collapse = ',')
sqldf(paste0("SELECT empAge, empSalary
FROM df WHERE empID IN (",N,")"))
)
output$table1 = DT::renderDataTable(
req(input$Search)
df1(), options = list(dom = 't'))
)
应用程序在 stri_c(..., sep = sep, collapse = collapse, ignore_null = TRUE) 中引发警告 警告： 参数不是原子向量；胁迫
但是，如果我不将 selectizeInput 选项分组，它的工作原理如下面的应用程序：
library(shiny)
library(tidyverse)
library(sqldf)
library(DT)
library(stringr)
df <- data.frame(empName = c("Jon", "Bill", "Maria", "Dan", "Ken", "Fay"),
empID = c("J111", "B222", "M333", "D444", "K555", "F666"),
empAge = c(23, 41, 32, 28, 35, 38),
empSalary = c(21000, 23400, 26800, 27200, 30500, 32000)
)
shinyApp(
ui = fluidPage(
selectizeInput( "Search", label = p("Select name"), choices = NULL,
options = list( placeholder = 'Select name', maxOptions = 10,
maxItems = 3, searchConjunction = 'and' )),
hr(),
fluidRow(
column(6, DT::dataTableOutput("table1")))
),
server = function(input, output, session)
updateSelectizeInput(session,
"Search",
server = TRUE,
choices = df$`empName`)
df1 <- reactive (
Selected <-df %>% filter(empName %in% input$Search)%>% select(empID)
SelectedID<-sapply(Selected, as.character)
N<-stringr::str_c(stringr::str_c("'", SelectedID, "'"), collapse = ',')
sqldf(paste0("SELECT empAge, empSalary
FROM df WHERE empID IN (",N,")"))
)
output$table1 = DT::renderDataTable(
req(input$Search)
df1(), options = list(dom = 't'))
)
如何在 selectizeInput 中进行分组的第一种情况下实现相同的输出？
【问题讨论】：
【参考方案1】：以下内容是否符合您的要求？
library(shiny)
library(tidyverse)
library(DT)
df <- data.frame(
empName = c("Jon", "Bill", "Maria", "Dan", "Ken", "Fay"),
empID = c("J111", "B222", "M333", "D444", "K555", "F666"),
empAge = c(23, 41, 32, 28, 35, 38),
empSalary = c(21000, 23400, 26800, 27200, 30500, 32000),
empGroup = c("Employee", "Employee", "Manager", "Manager", "Director","Director"))
df$empGroup <- as.factor(as.character(df$empGroup))
ui <- fluidPage(
selectizeInput(
inputId = 'Search',
label = NULL,
choices = NULL,
multiple = TRUE,
options = list(
placeholder = 'Select name',
# predefine all option groups
optgroups = lapply(unique(df$empGroup), function(x)
list(value = as.character(x), label = as.character(x))
),
# what field to sort according to groupes defined in 'optgroups'
optgroupField = 'empGroup',
# you can search the data based on these fields
searchField = c('empName', 'empGroup', 'empID'),
# the label that will be shown once value is selected
labelField= 'empName',
# (each item is a row in data), which requires 'value' column (created by cbind at server side)
render = I("
option: function(item, escape)
return '<div>' + escape(item.empName) +'</div>';
")
)
),
hr(),
fluidRow(
column(6, DT::dataTableOutput("table1"))))
server <- function(input, output, session)
updateSelectizeInput(
session = session,
inputId = 'Search',
choices = cbind(df, value = seq_len(nrow(df))),
server = TRUE)
df1 <- reactive(
df %>%
rowid_to_column("idx") %>%
filter(idx %in% input$Search) %>%
select(empAge, empSalary)
)
output$table1 = DT::renderDataTable(
req(input$Search)
df1()
, options = list(dom = 't'))
shinyApp(server = server, ui = ui)
PS。
我已经稍微清理了你的代码，因为我发现很难理解/消化你在做什么。例如，我没有看到同时使用sqldf 和 tidyverse 的意义；如果您已经加载了完整的tidyverse，您不妨使用dplyr 进行所有数据操作/过滤（而不是添加另一个依赖项）。稍微注意一下，当您加载 tidyverse 时，stringr 会自动加载，因此不需要显式的 library(stringr) 调用。我删除了您在此最小代码示例中未使用的定义 x 和 group 的行。我还建议根据流行且公开可用的 R 样式指南之一使用一致的缩进和空格使用。这将有助于（您和其他人）提高可读性。
更新
要在sqldf 中执行reactive 数据过滤，您可以将上面的df1 <- reactive() 块替换为
library(sqldf)
...
df1 <- reactive(
data <- transform(df, idx = 1:nrow(df))
sqldf(sprintf(
"select empAge, empSalary from data where idx in (%s)",
toString(input$Search)))
)
【讨论】：
谢谢@Maurits Evers ...我使用 sqldf 的原因是因为在我的实际应用程序中我使用 MySQL 来查询大型数据库。因此，我无法使用应用程序加载整个数据。感谢您指出缩进。组功能与我遵循的示例中一样 @Rnoob 我明白了。我进行了编辑以展示如何在reactive 表达式中使用sqldf（而不是dplyr）进行过滤。请看一下。以上是关于R Shiny SelectizeInput：从分组选择中传递值不起作用的主要内容，如果未能解决你的问题，请参考以下文章
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