I´m trying to display and group a boxplot by using ggplot and geom_boxplot. The code shows no error and displays a graph but there is a problem displaying a correct boxplot. As you can see there is no boxplot but for every category of the selected variable a line. 
The used variables are saved as data.frames. Do you know how to fix the boxplot output?
My code:
library(shiny)
library(shinydashboard)
library(dplyr)
library(DT)
library(ggplot2)
library(likert)
levels.netusoft <- c("Sehr wenig", "Etwas", "Stark", "Sehr stark", "Verweigert",
"Weiß nicht", "Keine Antwort")
levels.ppltrst <- c("1", "2", "3", "4", "5", "6", "Verweigert", "Weiß nicht",
"Keine Antwort")
levels.polintr <- c("Überhaupt nicht", "Sehr wenig", "Etwas", "Stark", "Sehr stark",
"Verweigert", "Weiß nicht", "Keine Antwort")
levels.psppsgva <- c("Überhaupt nicht fähig", "Wenig fähig", "Ziemlich fähig",
"Sehr fähig", "Vollkommen fähig", "Verweigert", "Weiß nicht",
"Keine Antwort")
levels.actrolga <- c("Wenig fähig", "Ziemlich fähig", "Sehr fähig", "Vollkommen fähig",
"Verweigert", "Weiß nicht", "Keine Antwort")
levels.gndr <- c("männlich", "weiblich")
dataset <- data.frame("netusoft" = factor(sample(levels.netusoft, 100,
replace = TRUE),
levels.netusoft),
"ppltrst" = factor(sample(levels.ppltrst, 100,
replace = TRUE),
levels.ppltrst),
"polintr" = factor(sample(levels.polintr, 100,
replace = TRUE),
levels.polintr),
"psppsgva" = factor(sample(levels.psppsgva, 100,
replace = TRUE),
levels.psppsgva),
"actrolga" = factor(sample(levels.actrolga, 100,
replace = TRUE),
levels.actrolga),
"gndr" = factor(sample(levels.gndr, 100,
replace = TRUE),
levels.gndr),
check.names = FALSE)
# ----- UI
ui <- fluidPage(
dashboardPage(
dashboardHeader(title = "Test Shiny Dashboard",
titleWidth = 300),
dashboardSidebar(width = 300,
selectInput(inputId = "round",
label = "Wählen Sie eine Runde aus",
c("Runde 9" = "9"),
selected = "9", selectize = FALSE),
#end selectinput
conditionalPanel(
condition = "input.round == '9'",
selectInput(inputId = "battery",
label = "Wählen Sie Themenfeld aus",
c("A: Medien-, Internetnutzung, Soziales Vertrauen" = "A",
"B: Politische Variablen, Immigration" = "B"),
selectize = FALSE), #end selectinput
uiOutput("question_placeholder")
),
checkboxInput(
inputId = "group",
label = "Daten gruppieren",
value = FALSE), #end checkbox
conditionalPanel(
condition = "input.group == true",
selectInput(
inputId = "UV",
label = "Daten gruppieren nach:",
c("Geschlecht" = "gndr")
) # end conditionalPanel
)
), # end dashboardSidebar
dashboardBody(
fluidRow(
box(width = 8, status = "info", solidHeader = TRUE,
title = "Graph:",
plotOutput("plot", width = "auto", height = 500)
)
), # end fluidRow
) #end dashboardBody
)
)
server <- function(input, output, session) {
get_data <- reactive({
req(input$question)
if (input$group) {
dataset %>%
select(Antwortkategorie = input$question, req(input$UV)) %>%
group_by(grp = !!as.symbol(input$UV), Antwortkategorie)
} else {
dataset %>%
select(Antwortkategorie = input$question) %>%
group_by(Antwortkategorie)
}
})
output$question_placeholder <- renderUI({
if (input$battery == "A") {
choices <- c("A2|Häufigkeit Internetnutzung" = "netusoft",
"A4|Vertrauen in Mitmenschen" = "ppltrst")
} else if (input$battery == "B") {
choices <- c("B1|Interesse an Politik" = "polintr",
"B2|Politische Mitsprachemöglichkeit" = "psppsgva",
"B3|Fähigkeit politischen Engagements " = "actrolga")
}
selectInput(inputId = "question",
label = "Wählen Sie eine Frage aus",
choices,
selectize = FALSE)
})
theplot <- reactive({
p <- get_data() %>%
ggplot(mapping = aes(y = (Antwortkategorie)))
geom_boxplot()
if(input$group==TRUE) {
p <- get_data() %>%
ggplot(mapping = aes(x=grp,
y=Antwortkategorie))
geom_boxplot()
}
plot(p)
})
output$plot <- renderPlot({
theplot()
})
}
shinyApp(ui, server)
CodePudding user response：
What you're seeing is not lines, but boxplots in the vertical direction, when you appear to want them in the horizontal direction.
The geom_boxplot function has an argument "outlier" indicate whether x or y represent separate boxes. Adding orientation = "y" to your geom_boxplot() call should get the plot that you want.
CodePudding user response：
You forgot to define the aesthetic for your x-axis that geom_boxplot() needs to calculate the box.
theplot <- reactive({
p <- get_data() %>%
ggplot(mapping = aes(x = "your_data_here", = (Antwortkategorie)))
geom_boxplot()
Additionally, you defined your grouping variable wrong. in your if-statement. If you want boxplots by group you have to use the group = parameter within aes().
if(input$group==TRUE) {
p <- get_data() %>%
ggplot(mapping = aes(x="your_data_here",
y=Antwortkategorie,
group=grp))
geom_boxplot()
}
plot(p)
})