ggplot2和gganimate:如何使动画线根据Y轴值更改颜色

时间:2017-10-19 00:12:55

标签: r animation ggplot2 gganimate

我希望我的情节中的动画线在超过50%时改变颜色,以显示结果的差异。

我的" data.thesis"框架看起来像这样:

image1

我的假设结果情节就在这里。代码将为图表设置动画,以便黑线移动到潜在的结果:

image2

library(ggplot2)
library(gganimate)

z <- qnorm(0.33)  
sd <- (50 - 55)/z
moe <- 1.96*sd

data.thesis <- data.frame(name = "Candidate", percent.vote = 55)
data.thesis <- data.thesis %>% 
  mutate(sd = sd, 
         ymin = percent.vote - 1.96*sd, 
         ymax = percent.vote + 1.96*sd)


set.seed(2016)
n.outcomes <- 50

df <- data.frame(simulation = 1:n.outcomes, 
                 team = "Yes", 
                 vote.share = round(rnorm(50, mean = 55, sd = sd), 3))

p <- df %>%
  ggplot(aes(x = team, y = vote.share)) +
  geom_errorbar(aes(
    ymin = vote.share, ymax = vote.share, 
    frame = simulation, cumulative = TRUE), 
    color = "grey80", alpha = 1/8) +
  geom_errorbar(aes(
    ymin = vote.share, ymax = vote.share, frame = simulation), 
    color = "black") +
  theme(panel.background = element_rect(fill = "#FFFFFF"),
        text=element_text(size=15, vjust=1, family="Verdana"),
        axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank()) +
  labs(title = "", y = "Vote share", x = "") +
  scale_y_continuous(limits=c(0, 100), 
                     breaks=c(0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100)) +
  xlab("") +
  ylab("Percent") +
  ggtitle("Treatment 2: Hypothetical Outcome Plot") +
  annotate("segment", x=1.6, xend=1.6, y=51, yend=70, colour="black", size=1,  arrow=arrow()) +
  annotate(geom="text", x=1.6, y=74, label="A Wins", color="black", size=5) + 
  annotate("segment", x=1.6, xend=1.6, y=49, yend=30, colour="black", size=1,  arrow=arrow()) +
  annotate(geom="text", x=1.6, y=26, label="A Loses", color="black", size=5) + 
  annotate("text", x = 1.8, y = 75, label = "")  +
  annotate("segment", x=.55, xend=1.45, y=55, yend=55, colour="red")

gganimate(p, title_frame = FALSE)

1 个答案:

答案 0 :(得分:0)

不要对线条颜色进行硬编码,而是在第二次调用geom_errorbar时使用颜色美学。具体来说,更改第二个geom_errorbar语句:

  geom_errorbar(aes(ymin = vote.share, ymax = vote.share, frame = simulation), 
    color = "black") +

到此:

  geom_errorbar(aes(ymin = vote.share, ymax = vote.share, frame = simulation, 
    colour=ifelse(vote.share > 50, "Win","Lose")), show.legend=FALSE) +

这并非特定于gganimate,因为这正是您为任何ggplot所做的,使线颜色依赖于超过某些y轴切割点。

在下面的图表中,我添加了+ scale_colour_manual(values=c(Win="blue", Lose="red")),但您可以将颜色设置为您想要的任何值。另外,我在y = 55处留下了红线注释。我不确定你是否想在最后的情节中使用它,但它当然可以轻松删除。

enter image description here