我将构建一个网页,根据用户输入的群集数量对虹膜数据进行聚类。它使用K均值算法对数据进行聚类,并显示聚类数据的图。 它不起作用,我不知道为什么。我从这个链接开始: http://rstudio.github.io/shiny/tutorial/#sending-images
以下是我的文件: ui.R
library(shiny)
shinyUI(pageWithSidebar(
headerPanel("Clustering iris Data"),
sidebarPanel(
sliderInput("k", "Number of clusters:",
min = 1, max = 5, value = 3)
),
mainPanel(
# Use imageOutput to place the image on the page
imageOutput("myImage")
)
))
和server.R
library(shiny)
library(caret)
library(ggplot2)
data(iris)
inTrain <- createDataPartition(y=iris$Species, p=0.7, list=FALSE)
training <- iris[inTrain,]
testing <- iris[-inTrain,]
shinyServer(function(input, output, session) {
output$myImage <- renderImage({
# A temp file to save the output.
# This file will be removed later by renderImage
outfile <- tempfile(fileext='.png')
kMeans1 <- kmeans(subset(training,select=-c(Species)),centers=input$k)
training$clusters <- as.factor(kMeans1$cluster)
# Generate the PNG
png(outfile, width=400, height=600)
qplot(Petal.Width,Petal.Length,colour=clusters,data=training,main="iris Data Clusters")
print(qplot)
#plot(training$Petal.Width,training$Petal.Length,colour=clusters,data=training,main="iris Data Clusters")
#hist(rnorm(input$k), main="Generated in renderImage()")
#myImage
dev.off()
# Return a list containing the filename
list(src = outfile,
contentType = 'image/png',
width = 400,
height = 600,
alt = "This is alternate text")
}, deleteFile = TRUE)
})
答案 0 :(得分:3)
我认为你只需要改变
qplot(Petal.Width,Petal.Length,colour=clusters,data=training,main="iris Data Clusters")
print(qplot)
这样的事情:
qP <- qplot(
Petal.Width,Petal.Length,
colour=clusters,data=training,
main="iris Data Clusters")
print(qP)
因为您对qplot()
的调用实际上并未创建对象;这就是print(qplot)
在控制台中打印qplot
的函数定义的原因。