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Question

请帮助和评论。

使用数据集 msleep，针对 bodywt 和 sleep_total 因素绘制 qplot，并使用 geo_smooth 添加一条线。使用 qplot 绘制一条线，应用线性回归模型去除标准误差。按沃尔分组。将模型分成多面体。

names(msleep):"name" "genus" "vore" "order" "conservation" "sleep_total" "sleep_rem" " sleep_cycle" "清醒" "brainwt" "bodywt"

***

qplot(log(bodywt),sleep_total,data=msleep)+geom_smooth()
    qplot(log(bodywt),sleep_total,data=msleep)+geom_smooth(method = "lm",se=F)
    qplot(log(bodywt),sleep_total,data=msleep,color=vore)+geom_smooth(method = "lm",se=F)
    qplot(log(bodywt),sleep_total,data=msleep)+geom_smooth(method = "lm",se=F)+facet_grid(.~vore)

Answer 1

你可以使用ggplot喜欢

library(ggplot2)

ggplot(msleep, aes(x = log(bodywt), y= sleep_total))+
  geom_point()+
  geom_smooth(method = "lm",se=F)+facet_grid(.~vore, scales = "free")

没有刻面

ggplot(msleep, aes(x = log(bodywt), y= sleep_total, color=vore))+
  geom_point()+
  geom_smooth(method = "lm",se=F)

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