我一直在制作Shiny中的动画滑块项目,而我几乎拥有我想要的东西,但并不完全。它不是在动画序列中显示每个连续的图形,而是显示包含所有数据的图形(非序列化)。我不太确定我的错误在哪里,但我怀疑它是在反应函数调用或服务器部分中的renderPlot函数调用。我试过在网上搜索,我尝试在不同的位置放置不同的代码块,但我似乎无法让动画在Shiny中工作。最后我想将数字月份(1,2,3 ...)更改为日期对象以便更清晰,但我会在动画工作后解决这个问题。
请注意 - 我已经能够使用googleVic,gvisMotionChart和Shiny获得这个数据的成功动态图表,但我发现使用这种方法我无法控制气泡图颜色或气泡大小(我想要一个常数)由于重叠,尺寸远小于谷歌泡泡图的默认尺寸)。所以,我希望用R的基本图形或ggplot来完成这个动画。
以下是一小组数据来表示我正在使用的内容:
d1 <- data.table( id = 1:21,
Region = rep(c("R1","R2","R3"), each=7),
Month = 1,
Spend = round(runif(21,100,500)),
Age = round(runif(21,72,100)),
Color = rep(c("#E69F00","#D55E00","#009E73"),each=7))
d2 <- copy(d1)
d2[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d3 <- copy(d2)
d3[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d4 <- copy(d3)
d4[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d5 <- copy(d4)
d5[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d6 <- copy(d5)
d6[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d7 <- copy(d6)
d7[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
d8 <- copy(d7)
d8[,Month:=Month+1][,Age:=Age+1][,Spend:=Spend+round(runif(21,0,4))]
dat <- rbindlist(list(d1,d2,d3,d4,d5,d6,d7,d8))
这是一个动画GIF,用于显示基本图形
的动画效果saveGIF({
for(i in 1:8){
plot(dat[Month==i,Age],dat[Month==i,Spend],col=dat[Month==i,Color],
pch=16, xlim=c(min(dat$Age)*.95,max(dat$Age)*1.1),
ylim=c(min(dat$Spend)*.95,max(dat$Spend)*1.1),
xlab="Age in Months",ylab="Dollars", las=1, cex.axis=.7)
legend("topright",inset=.05,c("Reg 1","Reg 2","Reg 3"),
pch=16,col=c("#E69F00","#D55E00","#009E73"),
cex=.8)
ani.pause()
}
}, interval = 0.25, ani.width = 750, ani.height = 550)
这是我目前的非工作闪亮代码
library(shiny)
library(ggplot2)
# Shiny app with slider and animation
# ui section
ui = fluidPage(
# Title
titlePanel("Spend vs Age by Region"),
# Sidebar with slider and controls for animation
sidebarLayout(
# sidebar with slider
sidebarPanel(
# Slider with looping
sliderInput("theMonth", "Month", 1, 8, 1, step = 1,
animate=animationOptions(interval=1000, loop = T,
playButton = T, pauseButton = T))
),
# Show the animated graph
mainPanel(
plotOutput(outputId="case_age_plot")
)
)
)
# server section
server = function(input, output) {
# Reactive expression to create data frame and graph
aniGraph <- reactive({
# subset the data frame into the portion that has the data for the
# graph in the animation sequence
dat[Month==input$theMonth,]
# create the graph
plot(dat[,Age],dat[,Spend],col=dat[,Color],
pch=16, xlim=c(min(dat$Age)*.95,max(dat$Age)*1.1),
ylim=c(min(dat$Spend)*.95,max(dat$Spend)*1.1),
xlab="Age in Months",ylab="Dollars", las=1, cex.axis=.7)
legend("topright",inset=.05,c("Reg 1","Reg 2","Reg 3"),
pch=16,col=c("#E69F00","#D55E00","#009E73"),cex=.8)
})
# Show the graph
output$case_age_plot <- renderPlot({
aniGraph()
})
}
# run the app
runApp(list(ui = ui, server = server))
如果有人有解决方案或想法,我将不胜感激。
答案 0 :(得分:4)
问题是你没有保存dat
的子集。我稍微修改了你的代码,以获得与gif动画相同的动画。
library(shiny)
library(ggplot2)
# Shiny app with slider and animation
# ui section
ui = fluidPage(
# Title
titlePanel("Spend vs Age by Region"),
# Sidebar with slider and controls for animation
sidebarLayout(
# sidebar with slider
sidebarPanel(
# Slider with looping
sliderInput("theMonth", "Month", 1, 8, 1, step = 1,
animate=animationOptions(interval=1000, loop = T,
playButton = T, pauseButton = T))
),
# Show the animated graph
mainPanel(
plotOutput(outputId="case_age_plot")
)
)
)
# server section
server = function(input, output) {
# Reactive expression to create data frame and graph
aniGraph <- reactive({
# subset the data frame into the portion that has the data for the
# graph in the animation sequence
# Save subset of 'dat' and pass it to the plot
dat_sub <- dat[Month==input$theMonth,]
# create the graph
plot(dat_sub[,Age],dat_sub[,Spend],col=dat_sub[,Color],
pch=16, xlim=c(min(dat$Age)*.95,max(dat$Age)*1.1),
ylim=c(min(dat$Spend)*.95,max(dat$Spend)*1.1),
xlab="Age in Months",ylab="Dollars", las=1, cex.axis=.7)
legend("topright",inset=.05,c("Reg 1","Reg 2","Reg 3"),
pch=16,col=c("#E69F00","#D55E00","#009E73"),cex=.8)
})
# Show the graph
output$case_age_plot <- renderPlot({
aniGraph()
})
}
# run the app
runApp(list(ui = ui, server = server))