![](/img/trans.png)
[英]Downloading a ggplot2 and a plotly object in an R Shiny app
[英]R Shiny app ggplot2 times out
我正在構建一個應用程序,以更好地了解對數正態分布和正態分布的差異。 該應用程序應使用ggplot2顯示模擬數據的直方圖(正常或對數正態),並向假數據擬合法線,對數正態密度和核密度。 由於某些原因,下面的應用程序不會顯示ggplot2圖形。
# Define UI for application that draws a histogram
library(shiny)
library(ggplot2)
library(stats)
library(gridExtra)
set.seed(15)
ui <- fluidPage(
# Application title
titlePanel("Curve fit with different distributions"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("mean",
"Mean value:",
min = 1,
max = 250,
value = 10)
,
sliderInput("spread",
"Standard deviation:",
min = 0,
max = 25,
step=0.1,
value = 2.5)
,
sliderInput("n",
"How many datapoints:",
min = 10,
max = 10000,
value = 2500)
,
selectInput("dist",
"Which data distribution?" ,
list("Normal"="dnorm" ,
"Lognormal"="dlnorm"
)
)),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot", height = "80%"))
)
)
# Define server logic required to draw a histogram with normal and log normal density
server <- function(input, output) {
sim_data<-reactive({
if(is.null(input$dist) |is.null(input$spread) | is.null(input$mean)) {
return(NULL)
}
mlog<-log(input$mean )
lspread <- log(input$spread)
dat <- data.frame(xn = rnorm(input$n, mean = input$mean, sd = input$spread), ln=rlnorm(input$n, meanlog =mlog , sdlog = lspread))
return(dat)
})
output$distPlot <- renderPlot({
if(is.null(sim_data()) |is.null(input$dist) ){
return(NULL)
}
# generate bins based on input$bins from ui.R
if(input$dist == "dnorm"){
hist_plot<- ggplot(sim_data(), aes(x = xn)) +
geom_histogram(aes(y =..density..),
colour = "black",
fill = "white") +
stat_function(fun = dnorm, colour ="#377EB8", args = list(mean = mymean, sd = mysd))+
stat_function(fun = dlnorm, colour ="#E41A1C", args = list(mean = mylmean, sd = mylsd))+
geom_density(colour="black")+
theme_minimal()
}
else{
hist_plot<- ggplot(sim_data(), aes(x = ln)) +
geom_histogram(aes(y =..density..),
colour = "black",
fill = "white") +
labs(title=distname) +
theme_minimal()+
stat_function(fun = dnorm, colour ="#377EB8", args = list(mean = mymean, sd = mysd))+
stat_function(fun = dlnorm, colour ="#E41A1C", args = list(mean = mylmean, sd = mylsd))+
geom_density(colour="black")+
theme_minimal()
}
if(input$dist == "dnorm"){
box_plot<- ggplot(sim_data(), aes(x="",y = xn)) +
geom_boxplot()+
theme_minimal()
}
else{
box_plot<- ggplot(sim_data(), aes(x="",y = ln)) +
geom_boxplot(
)+
theme_minimal()
}
p=grid.arrange(hist_plot+
theme_minimal(),box_plot+
theme_minimal(), ncol=1,nrow=2, heights = c(4,2))
plot(p)
})
}
# Run the application
shinyApp(ui = ui, server = server)
嗨,你的問題在這里
plotOutput("distPlot", height = "80%")
目前,您告訴情節的高度為“無”的80%,即“無”。 例如,將高度更改為400px
。
Shiny注意到該情節不是視覺的,因此即使在用餐時也沒有計算該情節。
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.