The app below works fine. I'm generating the graphs normally, but I'd like to round the values to graph1. As it stands, they're not being rounded. For example, if I choose to see 27/06, category ABC, the value 6.5 appears, but I would like to show the value by rounding. Remembering: I want rounded values just for graph1. Therefore, could you help me solve this problem?
Executable code below:
library(shiny)
library(shinythemes)
library(dplyr)
library(tidyverse)
library(lubridate)
library(shinyWidgets)
function.test<-function(){
df1 <- structure(
list(date1= c("2021-06-26","2021-06-26","2021-06-26","2021-06-26"),
date2 = c("2021-06-27","2021-07-01","2021-07-02","2021-07-03"),
Category = c("ABC","ABC","ABC","ABC"),
Week= c("Saturday","Wednesday","Thurday","Saturday"),
DR1 = c(5,4,1,1),
DR01 = c(8,4,1,0), DR02= c(7,4,2,0),DR03= c(6,9,5,0),
DR04 = c(5,5,4,0),DR05 = c(5,5,4,0),DR06 = c(7,5,4,0),DR07 = c(2,5,4,0),DR08 = c(2,5,4,0)),
class = "data.frame", row.names = c(NA, -4L))
return(df1)
}
f1 <- function(df1, dmda, CategoryChosse, plot = FALSE, var1, var2, gnum=0, graf=1) {
x<-df1 %>% select(starts_with("DR0"))
x<-cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV")))
PV<-select(x, date2,Week, Category, DR1, ends_with("PV"))
med<-PV %>%
group_by(Category,Week) %>%
dplyr::summarize(dplyr::across(ends_with("PV"), median))
SPV<-df1%>%
inner_join(med, by = c('Category', 'Week')) %>%
mutate(across(matches("^DR0\\d+$"), ~.x +
get(paste0(cur_column(), '_PV')),
.names = '{col}_{col}_PV')) %>%
select(date1:Category, DR01_DR01_PV:last_col())
SPV<-data.frame(SPV)
mat1 <- df1 %>%
dplyr::filter(date2 == dmda, Category == CategoryChosse) %>%
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 %>%
filter(date2 == dmda, Category == CategoryChosse) %>%
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(dplyr::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(var1,var2)
datas$days <- datas[[as.name(var1)]]
datas$numbers <- datas[[as.name(var2)]]
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(dplyr::across(starts_with("DR1"), mean))
m<-subset(m, Week == df1$Week[match(ymd(dmda), ymd(df1$date2))] & Category == CategoryChosse)$DR1
if (nrow(datas)<=2){
val<-as.numeric(m)
}
else{
mod <- nls(numbers ~ b1*days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")
coef<-coef(mod)[2]
val<-as.numeric(coef(mod)[2])
}
if(plot){
maxrange <- range(0, datas$numbers, na.rm = TRUE)
maxrange[2] <- maxrange[2] + 10
if (gnum) maxrange[2] <- maxrange[2] + 40
max<-max(0, datas$days, na.rm = TRUE)+1
limx = c(0,max)
limy = c(0,maxrange[2])
if (graf==1){
if (nrow(datas)<=2) leg = round(m,1) else leg = round(coef,1)
titl = "The number is:"
}else if (graf==2){
if (nrow(datas)<=2) leg = paste('US$', round(m,1)) else leg = paste('US$',round(coef,1))
titl = " The value is:"
}
plot(numbers ~ days, xlim= limx, ylim= limy, xlab = var1, ylab=var2,
xaxs='i',data = datas,main = paste0(dmda, "-", CategoryChosse))
legend("topright", legend= leg,title=titl,title.col = "black", cex = 1.2)
if (nrow(datas)<=2){
abline(h=m,lwd=2)
points(0, m, col = "red", pch = 19, cex = 2, xpd = TRUE)
text(.1,m+ .5, round(m,1), cex=1.1,pos=4,offset =1,col="black")
}
else{
new.data <- data.frame(days = with(datas, seq(min(days),max(days),len = 45)))
new.data <- rbind(0, new.data)
lines(new.data$days,predict(mod,newdata = new.data),lwd=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")
}
}
return(val)
}
ui <- fluidPage(
shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
br(),
tabPanel("",
sidebarLayout(
sidebarPanel(
uiOutput("date"),
uiOutput("mycode")),
mainPanel(
tabsetPanel(
tabPanel("Graph1", plotOutput("graph",width = "100%", height = "600")),
tabPanel("Graph2", plotOutput("graph2",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("Choose"),
min = min(data()$date2),
max = max(data()$date2),
value = NA,
datesdisabled = disabled)
})
output$mycode <- renderUI({
req(input$date2)
df1 <- data()
df2 <- df1[as.Date(df1$date2) %in% input$date2,]
selectInput("code", label = h4("Category"),choices=unique(df2$Category))
})
output$graph <- renderPlot({
req(input$date2,input$code)
var1 = "Days"
var2 = "Numbers"
f1(data(),as.character(input$date2),as.character(input$code),var1,var2,plot=TRUE, graf=1)
})
output$graph2 <- renderPlot({
req(input$date2,input$code)
var1 = "Reserv"
var2 = "Weekdays"
f1(data(),as.character(input$date2),as.character(input$code),var1,var2,1,plot=TRUE, graf=2)
})
}
shinyApp(ui = ui, server = server)