geom_smooth 没有回归线
geom_smooth no regression line
我有以下数据,我正在尝试使用 R 中的 ggplot2 包制作带回归线的散点图
这是我的代码:
df <- read.table(text = "tumor density fraction
A 2.31 0.224
B 2.76 0.042
C 1.51 0.039
D 1.48 0.429
E 1.97 0.081
F 1.82 0.026
G 1.5 0.083
H 2.38 0.043
I 2.52 0.105
J 1.47 0.200
K 2.17 0.049
L 1.5 0.022
M 2.03 0.100
N 2.2 0.021
O 1.8 0.000
P 1.62 0.055", header = T, sep = "\t")
ggplot(df,aes(x = density, y = fraction, color = tumor))+
geom_point()+geom_text(label=df$tumor)+
geom_smooth(method = "lm")
没有绘制回归线?
可能是什么问题?
我们可以从第一个 aes
中删除 color
并在 geom_point
中指定它
ggplot(df,aes(x = density, y = fraction))+
geom_point(aes(color = tumor))+
geom_smooth(method = 'lm')+
geom_text(label=df$tumor)
-输出
数据
df <- structure(list(tumor = c("A", "B", "C", "D", "E", "F", "G", "H",
"I", "J", "K", "L", "M", "N", "O", "P"), density = c(2.31, 2.76,
1.51, 1.48, 1.97, 1.82, 1.5, 2.38, 2.52, 1.47, 2.17, 1.5, 2.03,
2.2, 1.8, 1.62), fraction = c(0.224, 0.042, 0.039, 0.429, 0.081,
0.026, 0.083, 0.043, 0.105, 0.2, 0.049, 0.022, 0.1, 0.021, 0,
0.055)), class = "data.frame", row.names = c(NA, -16L))
我有以下数据,我正在尝试使用 R 中的 ggplot2 包制作带回归线的散点图
这是我的代码:
df <- read.table(text = "tumor density fraction
A 2.31 0.224
B 2.76 0.042
C 1.51 0.039
D 1.48 0.429
E 1.97 0.081
F 1.82 0.026
G 1.5 0.083
H 2.38 0.043
I 2.52 0.105
J 1.47 0.200
K 2.17 0.049
L 1.5 0.022
M 2.03 0.100
N 2.2 0.021
O 1.8 0.000
P 1.62 0.055", header = T, sep = "\t")
ggplot(df,aes(x = density, y = fraction, color = tumor))+
geom_point()+geom_text(label=df$tumor)+
geom_smooth(method = "lm")
没有绘制回归线?
可能是什么问题?
我们可以从第一个 aes
中删除 color
并在 geom_point
ggplot(df,aes(x = density, y = fraction))+
geom_point(aes(color = tumor))+
geom_smooth(method = 'lm')+
geom_text(label=df$tumor)
-输出
数据
df <- structure(list(tumor = c("A", "B", "C", "D", "E", "F", "G", "H",
"I", "J", "K", "L", "M", "N", "O", "P"), density = c(2.31, 2.76,
1.51, 1.48, 1.97, 1.82, 1.5, 2.38, 2.52, 1.47, 2.17, 1.5, 2.03,
2.2, 1.8, 1.62), fraction = c(0.224, 0.042, 0.039, 0.429, 0.081,
0.026, 0.083, 0.043, 0.105, 0.2, 0.049, 0.022, 0.1, 0.021, 0,
0.055)), class = "data.frame", row.names = c(NA, -16L))