我在同一个地块上绘制了两个不同的变量。 sex_female是chr,包括0和1。 epoch_36:epoch_144是num,时间变量。 这是我的代码:
total %>%
select(sex_female, epoch_36:epoch_144)%>%
gather(key = time, value = ac, epoch_36:epoch_144) %>%
group_by(sex_female,time) %>%
mutate(mean = mean(ac)) %>%
ggplot(aes(x = time, y = mean,color = sex_female)) +
geom_point(alpha = .3)+
geom_smooth(method = "lm")+
theme(axis.text.x = element_text(angle = 90,hjust = 1))
在突变之后,我得到了骰子:
A tibble: 45,780 x 4
# Groups: sex_female, time [218]
sex_female time ac mean
<chr> <chr> <dbl> <dbl>
1 1 epoch_36 49.8 54.96406
2 0 epoch_36 34.7 55.43448
3 0 epoch_36 70.9 55.43448
4 0 epoch_36 12.3 55.43448
5 1 epoch_36 102.7 54.96406
6 1 epoch_36 77.9 54.96406
7 0 epoch_36 1.1 55.43448
8 1 epoch_36 140.0 54.96406
9 1 epoch_36 51.3 54.96406
10 0 epoch_36 0.0 55.43448
# ... with 45,770 more rows
我尝试过使用类似问题中建议的解决方案:在ggplot2中使用geom_smooth绘制虚线回归线,但没有显示任何行。如何修复代码以生成行?
答案 0 :(得分:1)
您的time
列是分类的,您应该将其转换为数字。
mutTibble$time <- as.numeric(mutTibble$time)
对于绘图,你可以使用它:
library(ggplot2)
ggplot(mutTibble,
aes(time, mean, color = factor(sex_female))) +
geom_point(alpha = 0.3)+
geom_smooth(method = "lm")+
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
labs(x = "Time",
y = "Mean"
color = "Gender (female)")