如何调整Shiny代码 实现仅生成指定日期及之后的可视化图形

仅需修改server中output$date的日期范围控制逻辑即可，修改后不会改动原始数据集，4、5月的两条记录仍会完整参与业务计算，仅会限制日期选择器的可选范围：

核心修改点 #

• 日期选择器的可选下限设置为date1的最小值（2021-06-28）
• 自动禁用所有早于2021-06-28的日期
• 默认选中值调整为≥2021-06-28的最早有效date2，避免默认选中禁用日期

修改后完整代码 #

library(shiny)
library(shinythemes)
library(dplyr)
library(tidyverse)
library(lubridate)
library(stringr)

function.test<-function(){
  # df1 <- structure(
  #   list(date1= c("2021-06-28","2021-06-28","2021-06-28","2021-06-28"),
  #        date2 = c("2021-06-30","2021-06-30","2021-07-01","2021-07-01"),
  #        Category = c("FDE","ABC","FDE","ABC"),
  #        Week= c("Wednesday","Wednesday","Friday","Friday"),
  #        DR1 = c(4,1,6,3),
  #        DR01 = c(4,1,4,3), DR02= c(4,2,6,2),DR03= c(9,5,4,7),
  #        DR04 = c(5,4,3,2),DR05 = c(5,4,5,4),
  #        DR06 = c(2,4,3,2),DR07 = c(2,5,4,4),
  #        DR08 = c(3,4,5,4),DR09 = c(2,3,4,4)),
  #   class = "data.frame", row.names = c(NA, -4L))
  
  df1 <- structure(
    list(date1= c("2021-06-28","2021-06-28","2021-06-28","2021-06-28","2021-06-28","2021-06-28"),
         date2 = c("2021-04-30","2021-05-17","2021-06-30","2021-06-30","2021-07-01","2021-07-01"),
         Category = c("FDE","ABC","FDE","ABC","FDE","ABC"),
         Week= c("Friday","Monday","Wednesday","Wednesday","Friday","Friday"),
         DR1 = c(4,1,6,3,1,3),
         DR01 = c(4,1,4,3,1,3), DR02= c(4,2,6,2,2,4),DR03= c(9,5,4,7,5,2),
         DR04 = c(5,4,3,2,3,4),DR05 = c(5,4,5,4,2,4),
         DR06 = c(2,4,3,2,2,4),DR07 = c(2,5,4,4,4,2),
         DR08 = c(3,4,5,4,2,4),DR09 = c(2,3,4,4,4,2)),
    class = "data.frame", row.names = c(NA, -6L))
  return(df1)
}

f1 <- function(df1, dmda, CategoryChosse) {
  x<-df1 %>% select(starts_with("DR0"))
  x<-cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV")))
  PV<-select(x, date2,Week, Category, DR1, ends_with("_PV"))
  med<-PV %>%
    group_by(Category,Week) %>%
    summarize(across(ends_with("_PV"), median))
  SPV<-df1%
    inner_join(med, by = c('Category', 'Week')) %>%
    mutate(across(matches("^DR0\\d+$"), ~.x + 
                    get(paste0(cur_column(), '_PV')),
                  .names = '{col}_{col}_PV')) %>%
    select(date1:Category, DR01_DR01_PV:last_col())
  SPV<-data.frame(SPV)
  mat1 <- df1 %>%
    filter(date2 == dmda, Category == CategoryChosse) %>%
    select(starts_with("DR0")) %>%
    pivot_longer(cols = everything()) %>%
    arrange(desc(row_number())) %>%
    mutate(cs = cumsum(value)) %>%
    filter(cs == 0) %>%
    pull(name)
  (dropnames <- paste0(mat1,"_",mat1, "_PV"))
  SPV <- SPV %>%
    filter(date2 == dmda, Category == CategoryChosse) %>%
    select(-any_of(dropnames))
  datas<-SPV %>%
    filter(date2 == ymd(dmda)) %>%
    group_by(Category) %>%
    summarize(across(starts_with("DR0"), sum)) %>%
    pivot_longer(cols= -Category, names_pattern = "DR0(.+)", values_to = "val") %>%
    mutate(name = readr::parse_number(name))
  colnames(datas)[-1]<-c("Days","Numbers")
  datas <- datas %>% 
    group_by(Category) %>% 
    slice((as.Date(dmda) - min(as.Date(df1$date1) [
      df1$Category == first(Category)])):max(Days)+1) %>%
    ungroup
  plot(Numbers ~ Days,  xlim= c(0,45), ylim= c(0,30),
       xaxs='i',data = datas,main = paste0(dmda, "-", CategoryChosse))
  model <- nls(Numbers ~ b1*Days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")
  new.data <- data.frame(Days = with(datas, seq(min(Days),max(Days),len = 45)))
  new.data <- rbind(0, new.data)
  lines(new.data$Days,predict(model,newdata = new.data),lwd=2)
  coef<-coef(model)[2]
  points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)
  text(.99,coef + 1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")
}

ui <- fluidPage(
  shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
                          br(),
                          tabPanel("",
                                   sidebarLayout(
                                     sidebarPanel(
                                       uiOutput("date"),
                                       uiOutput("mycode"),
                                       br(),
                                     ),
                                     mainPanel(
                                       tabsetPanel(
                                         tabPanel("", plotOutput("graph",width = "100%", height = "600")
                                         )
                                       ),
                                     ))
                          )))

server <- function(input, output,session) {
  data <- reactive(function.test())
  output$date <- renderUI({
    req(data())
    # 取date1的最小值作为可选日期下限
    min_allowed_date <- min(as.Date(data()$date1))
    all_date2 <- as.Date(data()$date2)
    # 筛选允许选择的date2
    allowed_dates <- all_date2[all_date2 >= min_allowed_date]
    # 生成完整日期范围，计算需要禁用的日期
    all_dates_range <- seq(min(all_date2), max(all_date2), by = "day")
    disabled <- setdiff(all_dates_range, allowed_dates)
    dateInput(input = "date2", 
              label = h4("Data"),
              min = min_allowed_date,
              max = max(all_date2),
              value = min(allowed_dates),
              format = "dd-mm-yyyy",
              datesdisabled = disabled)
  })
  output$mycode <- renderUI({
    req(input$date2)
    df1 <- data()
    df2 <- df1[as.Date(df1$date2) %in% input$date2,]
    selectInput("code", label = h4("Code"),choices=unique(df2$Category))
  })
  output$graph <- renderPlot({
    req(input$date2,input$code)
    f1(data(),as.character(input$date2),as.character(input$code))
  })
}
shinyApp(ui = ui, server = server)

内容的提问来源于stack exchange，提问作者user16774617