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r - 将 gganimate 与 geom_point 和 geom_line 一起使用

问题描述

在这里使用 nfl 数据.. 第一次尝试 gganimate ...尝试使用 geom_point 和 geom_line 但 geom_line 不会出现..

数据框在这里..

week = c(1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17)
plays= c(9,10,5,3,4,4,3,5,6,5,11,12,6,11,7,3)
mean_epa= c(.67, .27, -.5, -1.09, -.3, .68, -.72, -.32, 1.03, 1.05, .56, .17, -.61, -.05, -.14, 1.5)
CLEdrive1b <- data.frame(week,plays,mean_epa)

在周变量内，缺少 7（因为布朗队没有第 7 周的比赛）......不确定这是否会导致问题？

我在下面的第一次尝试

p <- ggplot(CLEdrive1b, aes(x=as.factor(week),y=mean_epa)) +
  theme_minimal() +
  geom_point(aes(group = seq_along(week)), color = "orange", size = 4) +
  geom_line(alpha = 0.5)+
  transition_reveal(week)+
  geom_text(aes(label = mean_epa))+
  xlab("Week") +
  ylab("EPA/Play") +
  labs(title="Browns Opening Drives",
       subtitle = "EPA/Drive by Week",
       caption="Data from nflscrapR")+
  theme(axis.title = element_text(size = 10),
        axis.text = element_text(size = 9),
        plot.title = element_text(size = 15),
        plot.subtitle = element_text(size = 10),
        plot.caption = element_text(size = 8))

animate(p)

上述代码的结果

我试过的替代方法.. 

pi <- ggplot(CLEdrive1b, aes(week,y=mean_epa)) +
  theme_minimal() +
  geom_point(aes(group = seq_along(week)), color = "orange", size = 4) +
  geom_line(alpha = 0.5)+
  transition_reveal(week)+
  geom_text(aes(label = mean_epa))+
  xlab("Week") +
  ylab("EPA/Play") +
  labs(title="Browns Opening Drives",
       subtitle = "EPA/Drive by Week",
       caption="Data from nflscrapR")+
  theme(axis.title = element_text(size = 10),
        axis.text = element_text(size = 9),
        plot.title = element_text(size = 15),
        plot.subtitle = element_text(size = 10),
        plot.caption = element_text(size = 8))

animate(pi)

替代方法的结果

从 x 变量（周）中删除 as.factor .. 并且 geom_line 出现！但是 x 轴丢失了我正在寻找的标签，并且 geom_text 停止执行上面的操作..

感谢您花时间提供帮助...

标签： rggplot2gganimate

解决方案

问题在于，当将其转换为因子时，ggplot 不再“知道”如何对 week 变量进行分组，也不再连接观察结果。添加aes(group = 1)到您的geom_line就是您所需要的。

library(gganimate)
#> Loading required package: ggplot2
library(ggplot2)
week = c(1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17)
plays= c(9,10,5,3,4,4,3,5,6,5,11,12,6,11,7,3)
mean_epa= c(.67, .27, -.5, -1.09, -.3, .68, -.72, -.32, 1.03, 1.05, .56, .17, -.61, -.05, -.14, 1.5)
CLEdrive1b <- data.frame(week,plays,mean_epa)

p <- ggplot(CLEdrive1b, aes(x=as.factor(week),y=mean_epa)) +
  geom_point(aes(group = seq_along(week)), color = "orange", size = 4) +
  geom_line(alpha = 0.5, aes(group = 1))+
  transition_reveal(week)+
  geom_text(aes(label = mean_epa))

animate(p)

由reprex 包于 2020-02-03 创建(v0.3.0)

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