我正在尝试创建一个闪亮的/ flexdashboard,可以通过上载新文件来刷新表格。
下面的代码是一个简单的仪表板,带有一个表(使用formattable),该表首先加载了数据集。
用户可以使用文件上传小部件来上传新的数据集-我想了解上传完成后如何刷新表。是否应该在new_df_tbl
事件中完成?
该示例是独立的,可以直接在Rstudio中使用。
---
title: "Basic"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
runtime: shiny
---
```{r setup, include=FALSE}
library(flexdashboard)
library(shinyWidgets)
library(shiny)
library(formattable)
library(tidyverse)
```
```{r}
df <- data.frame(
x = rnorm(100),
y = rnorm(100)
)
```
```{r}
df_tbl <- reactive({
df %>% select(x, y) # do some stuff here but for simplicity we do nothing
})
```
Sidebar {.sidebar}
=======================================================================
```{r}
fileInput("file1", "Choose CSV File",
multiple = FALSE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv"))
br()
actionButton(inputId = "apply", label = "Apply", icon = icon("play"))
```
```{r}
rv <- reactiveValues(data = NULL)
rv <- df
observeEvent(eventExpr = input$apply,
handlerExpr = {
req(input$file1)
file <- read_csv(input$file1$datapath)
rv$data <- file
}, ignoreNULL = FALSE)
```
Main
=======================================================================
Column
-----------------------------------------------------------------------
### Table
```{r}
renderFormattable({
formattable(df_tbl())
})
```
答案 0 :(得分:0)
更新了代码。
rv <- reactiveValues(data = NULL)
rv$data <- df
observeEvent(eventExpr = input$apply,
handlerExpr = {
req(input$file1)
file <- read_csv(input$file1$datapath)
rv$data <- file
}, ignoreNULL = FALSE)
在调用表的任何地方,都使用rv$data
。用户加载文件时,这应该会更新您的表。