使用gganimate与geom_point和geom_line

Question

我正在处理NFL数据，第一次尝试使用gganimate...尝试使用geom_point和geom_line，但geom_line不会出现...

这里是数据框架...

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“本周变量”中，缺少数字7（因为布朗斯队在第七周没有比赛）……不确定是否会导致问题？

下面是我的第一次尝试

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)

我尝试的另一种方法...

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)

去除x变量（week）中的as.factor，geom_line出现了！但是x轴失去了我想要的标签，并且geom_text停止了之前的表现...

感谢您花费时间帮助...

- sbarbarotta

Answer 1

问题在于将其转换为因子后，ggplot不再“知道”如何对周变量进行分组，并且不再连接观测值。在您的geom_line中添加即可解决问题。

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)

^{创建于2020年2月3日，使用reprex包（v0.3.0）}

- tjebo