在 r 中使用 ggplot2 创建散点图，其中包含所有点但点的 1 条回归线通过分组变量进行区分

Question

我有兴趣在 r 中使用 ggplot2 创建散点图，其中 1 条回归线使用所有点来创建该线，但该图本身具有基于分组变量而彼此不同的点2级。

我想要这个图中的回归线：

我希望在这个情节中区分这一点：

这可能吗？

谢谢

这是我用来制作绘图的代码：

# creates data for scatter plot

## dataset of interest
iris

## for iris
colnames(iris)

### creates dataset with just cases where iris$Species == setosa or versicolor

#### unique values for iris$Species
unique(iris$Species)

#### loads tidyverse package
library(tidyverse)

##### filters dataset with just cases where iris$Species == setosa or versicolor
iris__setosa_or_versicolor <- iris %>% filter(iris$Species != "virginica")

##### turns iris__setosa_or_versicolor to dataframe
iris__setosa_or_versicolor <- data.frame(iris__setosa_or_versicolor)

##### unique values for iris__setosa_or_versicolor$Species
unique(iris__setosa_or_versicolor$Species)

## creates scatter plot

### loads ggplot2
library(ggplot2)

### Basic scatter plot
scatter_plot__sepal_length_x_sepal_width__points_is_species <- ggplot(iris__setosa_or_versicolor, aes(x=Sepal.Length, y=Sepal.Width)) + geom_point()
scatter_plot__sepal_length_x_sepal_width__points_is_species

### Basic scatter plot with regression line added
scatter_plot__sepal_length_x_sepal_width__points_is_species <- ggplot(iris__setosa_or_versicolor, aes(x=Sepal.Length, y=Sepal.Width)) + geom_point() + geom_smooth(method=lm, se=FALSE, color="green") + labs(title="Scatter plot of Sepal.Length X Sepal.Width with dots as Species where\n Species is setosa or versicolor but not differentiated by species", x="Sepal.Length", y = "Sepal.Width")
scatter_plot__sepal_length_x_sepal_width__points_is_species

### Basic scatter plot separated by Species
scatter_plot__sepal_length_x_sepal_width__points_is_species <- ggplot(iris__setosa_or_versicolor, aes(x=Sepal.Length, y=Sepal.Width, color=Species, shape=Species)) + geom_point() + geom_smooth(method=lm, se=FALSE, fullrange=TRUE) + labs(title="Scatter plot of Sepal.Length X Sepal.Width with dots as\n Species where Species is setosa or versicolor", x="Sepal.Length", y = "Sepal.Width") + scale_colour_manual(values = c("#ff0000","#0000ff"))
scatter_plot__sepal_length_x_sepal_width__points_is_species

### Basic scatter plot separated by Species with no regression lines
scatter_plot__sepal_length_x_sepal_width__points_is_species <- ggplot(iris__setosa_or_versicolor, aes(x=Sepal.Length, y=Sepal.Width, color=Species, shape=Species)) + geom_point() + labs(title="Scatter plot of Sepal.Length X Sepal.Width with dots as Species\n where Species is setosa or versicolor, with no regression lines", x="Sepal.Length", y = "Sepal.Width") + scale_colour_manual(values = c("#ff0000","#0000ff"))
scatter_plot__sepal_length_x_sepal_width__points_is_species

Answer 1

你想要这样的东西

### Basic scatter plot with regression line added
scatter_plot__sepal_length_x_sepal_width__points_is_species <-ggplot(iris__setosa_or_versicolor, aes(x=Sepal.Length, y=Sepal.Width)) + geom_point(aes(col=Species)) + geom_smooth(method=lm, se=FALSE, color="green") + labs(title="Scatter plot of Sepal.Length X Sepal.Width with dots as Species where\n Species is setosa or versicolor but not differentiated by species", x="Sepal.Length", y = "Sepal.Width")
scatter_plot__sepal_length_x_sepal_width__points_is_species

输出