将gganimate与geom_point和geom_line一起使用

Question

在这里使用nfl数据..第一次尝试gganimate ...尝试使用geom_point和geom_line，但不会显示geom_line。

数据框架在这里。

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（因为布朗没有第7周的比赛）...不确定是否引起问题？

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)

我尝试过的替代方法。

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)

从x变量（周）中删除了as.factor，并且出现了geom_line！但是x轴丢失了我要寻找的标签，geom_text停止执行上面的操作。

感谢您花费时间帮助...

Answer 1

问题在于，将其转换为因数时，ggplot不再“知道”如何对Week变量进行分组，并且不再连接观察值。您只需要将aes(group = 1)添加到geom_line中。

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 package（v0.3.0）于2020-02-03创建}