我要绘制的值和sideBarpanel的值在同一列中。我更喜欢长桌而不是宽桌。
是否可以在geom_histogram函数中过滤正确的值？
library(shiny)
library(ggplot2)
library(dplyr)
library(tidyverse)
library(readxl)
library(dplyr)
Survey <- read_excel("~/EIGSI/Project/Work files for R studio/04_Participant.xlsx")
Question <- read_excel("~/EIGSI/Project/Work files for R studio/02_Question.xlsx")
Data <- Survey
Data <- Data %>%
gather(key = "Question",
value = "Answer",
-Id)
Data <- Data %>%
right_join(Question, by=c("Question" = "question_ID"))
names(Data)
Data <- Data %>%
relocate(question_group_ID, .after = Id)
Data <- Data %>%
relocate(question_group_text, .after = question_group_ID)
Data <- Data %>%
relocate(question_text, .after = Question)
#APP STARTS HERE
# ui.R ----
ui <- fluidPage(
titlePanel("Departure times"), # Add a title panel
sidebarLayout(
position = "right",
sidebarPanel(h3("Inputs for histogram"),
selectInput("Answer", "Select mode", choices = c("On foot"="On foot",
"Bicycle" = "Bicycle",
"Bicycle (Yélo)"="Bicycle (Yélo)",
"Motorcycle/scooter"="Motorcycle/scooter",
"Scooter (trotinette)"="Scooter (trotinette)",
"Bus"="Bus",
"Train" = "Train",
"Car" = "Car",
"Carpool"="Carpool",
"Car (Yélo)"= "Car (Yélo)"),
selected = "Car"),
br(),
),
# Inside the sidebarLayout, add a sidebarPanel
mainPanel(
plotOutput("myhist")
)
)
)
# server.R ----
server <- function(input, output) {
Data %>%
filter(question_group_ID == "QG3") %>%
ggplot(aes(x=Answer))+
geom_histogram(stat = "count", data = Data[Data$Answer== input$Answer,])
}
# Run the app ----
shinyApp(ui = ui, server = server)
这是我的Data表，显示了head函数：
Id Question Answer
<dbl> <chr> <chr>
1 54 Q1 No
2 132 Q1 No
3 498 Q1 No
4 600 Q1 No
5 620 Q1 No
6 951 Q1 No
可以。您需要在输出对象中渲染打印，如下所示。
df <- mtcars
ui <- fluidPage(
titlePanel("Departure times"), # Add a title panel
sidebarLayout(
position = "right",
sidebarPanel(h3("Inputs for histogram"),
selectInput("Answer", "Select mode", choices = unique(df$cyl)),
br()
),
# Inside the sidebarLayout, add a sidebarPanel
mainPanel(
plotOutput("myhist")
)
)
)
# server.R ----
server <- function(input, output) {
output$myhist <- renderPlot({
df %>% dplyr::filter(vs==1) %>%
ggplot(aes(x=carb)) +
geom_histogram(stat = "count", data = df[df$cyl == input$Answer,])
})
}
# Run the app ----
shinyApp(ui = ui, server = server)