I'm inserting two codes: the first code works very well, but my database is mentioned in the code. However, I have this database in Excel and I'm trying to use it only by fileInput (second code). Unfortunately it's not working, the table that was supposed to be shown isn't working. Could you help me solve this problem?? Thank you very much!
To make it easier, I'm providing the excel database I'm using. https://syr.us/rVo
First code:
library(shiny)
library(shinythemes)
library(dplyr)
library(tidyverse)
library(lubridate)
library(readxl)
library(DT)
function.test<-function(){
Test <- structure(list(date2 = structure(c(18808, 18808, 18809, 18810
), class = "Date"), Category = c("FDE", "ABC", "FDE", "ABC"),
coef = c(4, 1, 6, 1)), row.names = c(NA, 4L), class = "data.frame")
return(Test)
}
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput('fileInput'),
uiOutput('daterange')
),
mainPanel(
dataTableOutput('table')
)
))
))
server <- function(input, output,session) {
data <- reactive(function.test())
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
min = min(data()$date2),
max = max(data()$date2))
})
data_subset <- reactive({
req(input$daterange1)
req(input$daterange1[1] <= input$daterange1[2])
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
showModal(modalDialog("Wait", footer=NULL))
on.exit(removeModal())
All<- subset(data(), date2 %in% days)
All<-All%>% mutate(TOTAL = rowSums(across(3:last_col()), na.rm = TRUE))
})
output$table <- renderDataTable({
datatable(data_subset(),options = list( columnDefs = list(
list(className = 'dt-center', targets = "_all")),
paging = TRUE, searching = FALSE,pageLength = 10,dom = 'tip', scrollx=TRUE), rownames = FALSE) %>%
formatRound(c(3:4), digits=0)
})
}
shinyApp(ui = ui, server = server)
Second code:
library(shiny)
library(shinythemes)
library(dplyr)
library(tidyverse)
library(lubridate)
library(readxl)
library(DT)
function.test<-function(){
return(Test)
}
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput('fileInput'),
uiOutput('daterange')
),
mainPanel(
dataTableOutput('table')
)
))
))
server <- function(input, output,session) {
data <- reactive(function.test())
data <- eventReactive(input$file, {
if (is.null(input$file)) {
return(NULL)
}
else {
df <- read_excel(input$file$datapath)
return(df)
}
})
output$fileInput <- renderUI({
fileInput("file",h4("Import file"),
multiple = T,accept = ".xlsx",
placeholder = "No file selected")
})
output$daterange <- renderUI({
dateRangeInput("daterange1", "Period you want to see:",
min = min(data()$date2),
max = max(data()$date2))
})
data_subset <- reactive({
req(input$daterange1)
req(input$daterange1[1] <= input$daterange1[2])
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
showModal(modalDialog("Wait", footer=NULL))
on.exit(removeModal())
All<- subset(data(), date2 %in% days)
All<-All%>% mutate(TOTAL = rowSums(across(3:last_col()), na.rm = TRUE))
})
output$table <- renderDataTable({
datatable(data_subset(),options = list( columnDefs = list(
list(className = 'dt-center', targets = "_all")),
paging = TRUE, searching = FALSE,pageLength = 10,dom = 'tip', scrollx=TRUE), rownames = FALSE) %>%
formatRound(c(3:4), digits=0)
})
}
shinyApp(ui = ui, server = server)
CodePudding user response：
Try this
library(shiny)
library(shinythemes)
library(dplyr)
library(writexl)
library(tidyverse)
library(lubridate)
library(readxl)
return_coef <- function(df1, dmda, CategoryChosse) {
x<-df1 %>% dplyr::select(starts_with("DR0"))
x <- cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV")))
PV <- dplyr::select(x, date2,Week, Category, DR1, ends_with("PV"))
med<-PV %>%
group_by(Category,Week) %>%
dplyr::summarize(across(ends_with("PV"), median))
SPV<-df1%>%
inner_join(med, by = c('Category', 'Week')) %>%
mutate(across(matches("^DR0\\d $"), ~.x
get(paste0(cur_column(), '_PV')),
.names = '{col}_{col}_PV')) %>%
dplyr::select(date1:Category, DR01_DR01_PV:last_col())
SPV<-data.frame(SPV)
mat1 <- df1 %>%
dplyr::filter(date2 == dmda, Category == CategoryChosse) %>%
dplyr::select(starts_with("DR0")) %>%
pivot_longer(cols = everything()) %>%
arrange(desc(row_number())) %>%
mutate(cs = cumsum(value)) %>%
dplyr::filter(cs == 0) %>%
pull(name)
(dropnames <- paste0(mat1,"_",mat1, "_PV"))
SPV <- SPV %>%
dplyr::filter(date2 == dmda, Category == CategoryChosse) %>%
dplyr::select(-any_of(dropnames))
if(length(grep("DR0", names(SPV))) == 0) {
SPV[head(mat1,10)] <- NA_real_
}
datas <-SPV %>%
dplyr::filter(date2 == ymd(dmda)) %>%
group_by(Category) %>%
dplyr::summarize(across(starts_with("DR0"), sum)) %>%
pivot_longer(cols= -Category, names_pattern = "DR0(. )", values_to = "val") %>%
mutate(name = readr::parse_number(name))
colnames(datas)[-1]<-c("Days","Numbers")
datas <- datas %>%
group_by(Category) %>%
slice((as.Date(dmda) - min(as.Date(df1$date1) [
df1$Category == first(Category)])):max(Days) 1) %>%
ungroup
m<-df1 %>%
group_by(Category,Week) %>%
dplyr::summarize(across(starts_with("DR1"), mean))
m<-subset(m, Week == df1$Week[match(ymd(dmda), ymd(df1$date2))] & Category == CategoryChosse)$DR1
if (nrow(datas)<=2){
return (as.numeric(m))
}
else if(any(table(datas$Numbers) >= 3) & length(unique(datas$Numbers)) == 1){
yz <- unique(datas$Numbers)
return(as.numeric(yz))
}
else{
mod <- nls(Numbers ~ b1*Days^2 b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")
return(as.numeric(coef(mod)[2]))
}
}
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput('fileInput'),
uiOutput('daterange')
),
mainPanel(
dataTableOutput('table')
)
))
))
server <- function(input, output,session) {
output$fileInput <- renderUI({
fileInput("file",h4("Import file"), multiple = T, accept = ".xlsx")
})
data <- eventReactive(input$file, {
if (is.null(input$file)) {
return(NULL)
}
else {
df3 <- read_excel(input$file$datapath)
validate(need(all(c('date1', 'date2') %in% colnames(df3)), "Incorrect file"))
df4 <- df3 %>% mutate_if(~inherits(., what = "POSIXct"), as.Date) # Change POSIXct variables to Date class
return(df4)
}
})
output$daterange <- renderUI({
req(data())
dateRangeInput("daterange1", "Period you want to see:",
min = min(data()$date2),
max = max(data()$date2))
})
data_subset <- reactive({
req(input$daterange1, data())
req(input$daterange1[1] <= input$daterange1[2])
days <- seq(input$daterange1[1], input$daterange1[2], by = 'day')
df1 <- subset(data(), as.Date(date2) %in% days)
df2 <- df1 %>% dplyr::select(date2,Category)
Test <- cbind(df2, coef = apply(df2, 1, function(x) {return_coef(df1,x[1],x[2])}))
Test
})
output$table <- renderDataTable({
data_subset()
})
}
shinyApp(ui = ui, server = server)