我有一个脚本,可以下载一些空军基地周围地区的COVID数据,并生成一个图表。我本来打算用一个大的dput()来复制它,但是对于一个帖子来说,它的字符太多了。可以从这里复制再现数据帧的dput()。
数据本身看起来就像
head(smDailyBaseData)
DaysSince Base abbv newRate label
<drtn> <chr> <chr> <dbl> <chr>
1 7 days Edwards EdwardsAFB 0 "Edwards \n 0"
2 8 days Edwards EdwardsAFB 0.00000140 "Edwards \n 2"
3 9 days Edwards EdwardsAFB 0.00000140 "Edwards \n 0"
4 10 days Edwards EdwardsAFB 0.00000140 "Edwards \n 0"
5 11 days Edwards EdwardsAFB 0.00000140 "Edwards \n 0"
6 12 days Edwards EdwardsAFB 0.00000140 "Edwards \n 0"737行..。
情节代码是
#endpoint layer
BaseEndpoints <- smDailyBaseData %>%
group_by(Base) %>%
filter(DaysSince == max(DaysSince)) %>%
select(Base, abbv, DaysSince, newRate,label) %>%
ungroup()
ZoomEndpoints <- BaseEndpoints %>% filter(Base != 'Hanscom') %>%
mutate(zoom = TRUE)
MAEndPoint <- BaseEndpoints %>% filter(Base == 'Hanscom') %>%
mutate(zoom = FALSE)
ZoomEndpoints <- rbind(ZoomEndpoints, MAEndPoint)
BasePlot <- smDailyBaseData %>%
ggplot(mapping = aes(x = as.numeric(DaysSince), y = newRate)) +
geom_line(aes(color=abbv),show.legend = FALSE) +
scale_color_ucscgb() +
geom_point(data = BaseEndpoints,size = 1.5,shape = 21,
aes(color = abbv,fill = abbv), show.legend = FALSE) +
geom_label_repel(data=ZoomEndpoints, aes(label=label), show.legend = FALSE,
vjust = 0) +
labs(x = "Days Since First Confirmed Case",
y = "% Local Population Infected Daily") +
theme(plot.title = element_text(size = rel(1), face = "bold"),
plot.subtitle = element_text(size = rel(0.7)),
plot.caption = element_text(size = rel(1))) +
facet_zoom(xlim = c(50,130), ylim=c(0,0.0075),zoom.data=zoom)
print(BasePlot)结果就是这个阴谋

尽管如此,它还是很拥挤,标签覆盖了大量的数据。我想让所有的标签排列在变焦图的右边,所有的空格都是(例如,x轴上的120以上),然后它们就可以有更长的线连接到端点。但我没能做到这一点。我尝试过将direction润湿到y,并使用hjust描述的这里,但是不要得到我要寻找的距离或对齐方式。
如有任何指导,将不胜感激。
发布于 2020-06-06 06:38:04
您正在寻找xlim=和ylim=参数在geom_label_repel()中。它们的工作方式与轴心限制相同,但它们是“排斥”标签的限制。您可以稍微玩一玩,但以下是将该行更改为“阅读”后的结果:
geom_label_repel(data=ZoomEndpoints, aes(label=label), show.legend = FALSE,
vjust = 0, xlim=c(100,120), size=3, direction = 'y')您的里程可能有所不同,因为输出取决于图形设备的分辨率和纵横比。

https://stackoverflow.com/questions/62225251
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