R 中的动画 ggplot2 堆叠折线图

Animate ggplot2 stacked line chart in R

我正在尝试在 ggplot2 中制作堆叠折线图的动画。

这是我想要制作动画的情节:

下面是生成类似图的代码:

#Data
mydata <- data.frame(year=rep(1:6, times=4),
                 activity=as.factor(rep(c("research","coursework","clinical work","teaching"), each=6)),
                 time=c(40, 35, 40, 60, 85, 90,
                        50, 40, 10, 0, 5, 0,
                        5, 20, 20, 40, 10, 10,
                        5, 5, 30, 0, 0, 0))

mydata$activity <- ordered(mydata$activity, levels = c("research","clinical work","coursework","teaching"))

labels <- data.frame(activity=c("research","coursework","clinical work","teaching"),
                 xaxis=c(5, 1.8, 2.5, 2.97),
                 yaxis=c(25, 70, 48, 90))

#Plot
ggplot(mydata, aes(x=year, y=time, fill=activity)) +
  geom_area(stat="smooth", span=.35, color="black") +
  theme(legend.position = "none") +
  geom_text(data=labels, aes(x=xaxis, y=yaxis, label=activity)) +
  ggtitle("Time in Different Activities by Year in Program") +
  ylab("Percentage of Time") +
  xlab("Year in Program")

我正在寻找第一张显示所有坐标轴和文本的图像。第二次迭代,我想随着时间的推移从左到右逐渐显示 "Research" 堆叠线(包括颜色和边框)。第三次迭代,我想从左到右逐渐显示 "Clinical Work" 堆叠线。四、"Coursework"叠行。最后,"Teaching" 堆叠线。

理想情况下,输出格式应该非常流畅(没有锯齿状的跳跃)并且与 PowerPoint 兼容。

很抱歉引入了一个非程序员的解决方案,但我会简单地为每次迭代分别生成图表,将它们放在 power point 中(一张幻灯片上的一个图表),并使用一些奇特的幻灯片过渡效果(我试过随机条对你的例子有影响,看起来不错)。

如果您决定寻找基于 R 的解决方案,您可以查看 animate 程序包(参见 Strategic Zombie Simulation 示例 here)。

这是一个基于 R 的解决方案。它保存可以在演示文稿中迭代的单个图形 (.png)。

或者,您可以使用 ImageMagick http://www.imagemagick.org/

创建动画(例如转换为 .gif)
#Data
mydata <- data.frame(year=rep(1:6, times=4),
                     activity=as.factor(rep(c("research","coursework","clinical work","teaching"), each=6)),
                     time=c(40, 35, 40, 60, 85, 90,
                            50, 40, 10, 0, 5, 0,
                            5, 20, 20, 40, 10, 10,
                            5, 5, 30, 0, 0, 0))

#order the activities and then the dataframe
mydata$activity <- ordered(mydata$activity, levels = c("research","clinical work","coursework","teaching"))
mydata <- mydata[order(mydata$activity),]

#labels
labels <- data.frame(activity=c("research","coursework","clinical work","teaching"),
                     xaxis=c(5, 1.8, 2.5, 2.97),
                     yaxis=c(25, 70, 48, 90))

#creates a function to draws a plot for each activity
draw.stacks<-function(leg){
  int <- leg*6
  a<-ggplot(data=mydata[1:int,], aes(x=year, y=time, fill=activity))+
    geom_area(stat="smooth", span=.35, color="black") +
    theme_bw()+
    scale_fill_discrete(limits = c("research","clinical work","coursework","teaching"), guide="none")+
    theme(panel.grid.major = element_blank(),
          panel.grid.minor = element_blank()) +
    coord_cartesian(xlim=c(1,6),ylim=c(0,100))+
    geom_text(data=labels, aes(x=xaxis, y=yaxis, label=activity)) +
    ggtitle("Time in Different Activities by Year in Program") +
    ylab("Percentage of Time") +
    xlab("Year in Program")  
  print(a)
}


# save individual png figures
for (i in 0:4) {
png(paste("activity", i, "png", sep="."))
  draw.stacks(i)
dev.off()
}