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Приведенный ниже блестящий код генерирует графики для дней , показанных в date2 , которые в данном случае являются днями 30/04, 17/05, 30/06 и 01/07.

Я хотел бы, чтобы в shiny отображались только графики, которые позже моих date1 (28/06). В моем календаре есть опция апрель и май, но я не хочу, чтобы эти месяцы отображались, так как я не хочу создавать графики за 30/04 и 17/05.

Исполняемый код

 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","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 $"), ~.x     get(paste0(cur_column(), '_PV')),  .names = '{col}_{col}_PV')) %>%  select(date1:Category, DR01_DR01_PV:last_col())    SPV<-data.frame(SPV)    mat1 <- df1 %>%  filter(date2 == dmda, Category == CategoryChosse) %>%  select(starts_with("DR0")) %>%  pivot_longer(cols = everything()) %>%  arrange(desc(row_number())) %>%  mutate(cs = cumsum(value)) %>%  filter(cs == 0) %>%  pull(name)    (dropnames <- paste0(mat1,"_",mat1, "_PV"))    SPV <- SPV %>%  filter(date2 == dmda, Category == CategoryChosse) %>%  select(-any_of(dropnames))    datas<-SPV %>%  filter(date2 == ymd(dmda)) %>%  group_by(Category) %>%  summarize(across(starts_with("DR0"), sum)) %>%  pivot_longer(cols= -Category, names_pattern = "DR0(. )", values_to = "val") %>%  mutate(name = readr::parse_number(name))  colnames(datas)[-1]<-c("Days","Numbers")    if(as.Date(dmda) < min(as.Date(df1$date1))){  datas <- datas %>%   group_by(Category) %>%   slice(1:max(Days) 1) %>%  ungroup  }else{  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$Days,predict(model,newdata = new.data),lwd=2)  coef<-coef(model)[2]  points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)  text(.99,coef   1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")   }   ui <- fluidPage(    ui <- shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,  br(),    tabPanel("",  sidebarLayout(  sidebarPanel(    uiOutput("date"),  uiOutput("mycode"),  br(),      ),    mainPanel(  tabsetPanel(  tabPanel("", plotOutput("graph",width = "100%", height = "600")  )  ),  ))  )))   server <- function(input, output,session) {    data <- reactive(function.test())    output$date <- renderUI({  req(data())  all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")  disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")  dateInput(input = "date2",   label = h4("Data"),  min = min(data()$date2),  max = max(data()$date2),  value = min(data()$date2),  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)  

В том dateInput , если мы возьмем то subset , что должно сработать

 data <- reactive(function.test())    output$date <- renderUI({  req(data())  subdf1 <- subset(data(), as.Date(date2) > as.Date(date1))  all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")  disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")  dateInput(input = "date2",   label = h4("Data"),  min = min(subdf1$date2),  max = max(subdf1$date2),  value = min(subdf1$date2),  format = "dd-mm-yyyy",  datesdisabled = disabled)    })  

-проверка выходных данных

-полный код

 library(shiny) library(shinythemes) library(dplyr) library(tidyr) library(purrr) #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","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 $"), ~.x     get(paste0(cur_column(), '_PV')),  .names = '{col}_{col}_PV')) %>%  select(date1:Category, DR01_DR01_PV:last_col())    SPV<-data.frame(SPV)    mat1 <- df1 %>%  filter(date2 == dmda, Category == CategoryChosse) %>%  select(starts_with("DR0")) %>%  pivot_longer(cols = everything()) %>%  arrange(desc(row_number())) %>%  mutate(cs = cumsum(value)) %>%  filter(cs == 0) %>%  pull(name)    (dropnames <- paste0(mat1,"_",mat1, "_PV"))    SPV <- SPV %>%  filter(date2 == dmda, Category == CategoryChosse) %>%  select(-any_of(dropnames))    datas<-SPV %>%  filter(date2 == ymd(dmda)) %>%  group_by(Category) %>%  summarize(across(starts_with("DR0"), sum)) %>%  pivot_longer(cols= -Category, names_pattern = "DR0(. )", values_to = "val") %>%  mutate(name = readr::parse_number(name))  colnames(datas)[-1]<-c("Days","Numbers")    if(as.Date(dmda) < min(as.Date(df1$date1))){  datas <- datas %>%   group_by(Category) %>%   slice(1:max(Days) 1) %>%  ungroup  }else{  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$Days,predict(model,newdata = new.data),lwd=2)  coef<-coef(model)[2]  points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)  text(.99,coef   1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")   }   ui <- fluidPage(    ui <- shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,  br(),    tabPanel("",  sidebarLayout(  sidebarPanel(    uiOutput("date"),  uiOutput("mycode"),  br(),      ),    mainPanel(  tabsetPanel(  tabPanel("", plotOutput("graph",width = "100%", height = "600")  )  ),  ))  )))   server <- function(input, output,session) {    data <- reactive(function.test())    output$date <- renderUI({  req(data())  subdf1 <- subset(data(), as.Date(date2) > as.Date(date1))  all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")  disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")  dateInput(input = "date2",   label = h4("Data"),  min = min(subdf1$date2),  max = max(subdf1$date2),  value = min(subdf1$date2),  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)