checkboxInput R shiny. Insert a condition - r

Question

I have the following code and I have created two checkbox inputs.
So, I created a pos variable that takes one of the two strings for the first input. This works.
Now, I want to create a new variable pll that fills the graph according to one of the two variables (type and employee) of my data set. I use the following code but this does not work. Do you have any idea
library(shiny)
library(shinyWidgets)
library(tidyverse)
library(DT)
library(shinythemes)
library(plotly)
library(ggthemes)
library(lubridate)
data <- data.frame(mitarbeiter = c("AA", "BB", "CC", "DD", "EE", "FF"),
art = c("hr", "GG", "TT", "RR", "OO", "OO"),
creadate = as_date(c("2018-01-03", "2018-01-03", "2018-01-03", "2018-01-03", "2018-01-03", "2018-01-03")))
mitarbeiter1 <- sort(unique(data$mitarbeiter))
art1 <- sort(unique(data$art))
year_month <- function(dates) {
paste(lubridate::year(dates),
str_pad(lubridate::month(dates), width = 2, pad = 0),
sep="-")
}
year_week <- function(dates) {
paste(lubridate::year(dates),
str_pad(lubridate::week(dates), width = 2, pad = 0),
sep="-")
}
year_day <- function(dates) {
paste(lubridate::year(dates),
str_pad(lubridate::month(dates), width = 2, pad = 0),
str_pad(lubridate::day(dates), width = 2, pad = 0),
sep="-")
}
ui <- fluidPage(
fluidRow(
column(4,
pickerInput("mitarbeiterName", "Name des Mitarbeiters", mitarbeiter1,
options = list(`actions-box` = TRUE), multiple = TRUE),
pickerInput("artName", "Art", art1,
options = list(`actions-box` = TRUE), multiple = TRUE),
pickerInput("period", "Zeitraum", c("day", "week", "month", "year"),
options = list(`actions-box` = TRUE)),
dateRangeInput("date", "Datum auswahlen", start = "2020-01-01"),
checkboxInput("kumulativ", "Kumulativ"),
checkboxInput("tf", "TF"),
downloadButton("download", "Download")
),
column(8,
plotlyOutput("policyPlot")
)
)
)
server <- function(input, output, session) {
#create a reactive object with a NULL starting value
listofrows <- reactiveValues(data = NULL)
#observe the changes in inputs and update the reactive object
observeEvent(c(input$mitarbeiterName, input$artName, input$date, input$period), {
req(input$mitarbeiterName)
req(input$artName)
req(input$period)
req(input$date)
listofrows$data <- subset(data, mitarbeiter %in% input$mitarbeiterName &
art %in% input$artName &
creadate >= input$date[1] & creadate <= input$date[2])
}, ignoreInit = T, ignoreNULL = TRUE)
output$policyPlot <- renderPlotly({
req(listofrows$data)
req(input$kumulativ)
fn <- switch(
input$period,
day = year_day,
week = year_week,
month = year_month,
year = year
)
pos <- if (input$kumulativ) "dodge" else "identity"
pll <- if (input$tf) type else employee
ggplot(listofrows$data) +
geom_bar(aes(x = fn(creadate), fill = pll),
stat = "count",
position = pos,
show.legend = T) +
ggtitle("Anzahl erstellte Policen (pro Mitarbeiter)") +
xlab("Zeitraum") + ylab("Anzahl der Policen")
})
output$download <- downloadHandler(
filename = function() {
paste("data-", Sys.Date(), ".png", sep = "")
},
content = function(file) {
ggsave(file, plot = output$policyPlot)
})
}
shinyApp(ui, server)
Do you have any idea how to make this work? thanks

Answer 1

Errors I noticed :
No declaration of reactive session_store
missing call to library plotly
aes instead of aes_string when using ggplot with variable name stored in variable, because here pll is a string of a variable name
Please remember to provide a reproductible example when asking a question, with a minimum usable dataset.
library(shiny)
library(shinyWidgets)
library(tidyverse)
library(DT)
library(shinythemes)
library(plotly)
data <- data.frame(employee = c("A", "B", "C", "A", "B", "C"),
type = c('1','2','3', '4', '2', '1'),
date = c("2020-01-01", "2020-01-02", "2020-01-01", "2020-01-02", "2020-01-02", "2020-01-02"))
ui <- fluidPage(
fluidRow(
column(4,
checkboxInput("cumulative", "Cumulative"),
checkboxInput("tf", "TF")
),
column(8,
plotlyOutput("policyPlot")
)
)
)
server <- function(input, output, session) {
session_store <- reactiveValues()
output$policyPlot <- renderPlotly({
pos <- if (input$cumulative) "stack" else "dodge"
pll <- if (input$tf) 'type' else 'employee'
# make a ggplot graph
g <- ggplot(data) +
geom_bar(aes_string('date', fill = pll),
stat = "count",
position = pos,
show.legend = T)
# convert the graph to plotly graph and put it in session store
session_store$plt <- ggplotly(g)
# render plotly graph
session_store$plt
})
}
shinyApp(ui, server)