R ggplot(): geom_point() with color-palette "Greens" ,如何得到黑点边框?
R ggplot(): geom_point() with color-palette "Greens" , how to get black point border?
我用 ggplot()
绘制散点图并使用特定的调色板,即 'Greens'
。基本上我对情节非常满意,但我希望每个点周围都有黑色边框。我的剧情代码是:
p <- ggplot(data = df.dataCorrelation, aes(x = prod1, y = prod2)) +
geom_point(aes(color = year)) +
geom_smooth(method = "lm", se = FALSE, color = "#007d3c") +
theme_classic() +
theme(legend.position = "none") +
theme(panel.background = element_blank()) +
scale_color_brewer(palette = 'Greens') + # customized color palette
xlab(product1) +
ylab(product2) +
ggtitle("Correlation Scatter Plot (Pearson)") +
theme(plot.title = element_text(hjust = 0.5, face = "bold"))
并提供以下图形:
我知道我可以用命令画黑边:
geom_point(aes(color = year, fill = ?), color = "black", pch = 21)
,
但这不适用于我选择的调色板,因为我不知道在 fill = ?
中使用什么
试试这个。
此处为可重现示例的数据
library(dplyr)
product1 <- "product1"
product2 <- "product2"
df.dataCorrelation <- iris %>% rename(prod1 = Petal.Length,
prod2 = Petal.Width,
year = Species)
这是你的代码
library(ggplot2)
ggplot(data = df.dataCorrelation, aes(x = prod1, y = prod2)) +
geom_point(aes(fill = year), colour = "black", shape = 21, size = 3) +
geom_smooth(method = "lm", se = FALSE, color = "#007d3c") +
theme_classic() +
theme(legend.position = "none") +
theme(panel.background = element_blank()) +
scale_fill_brewer(palette = 'Greens') + # customized color palette
xlab(product1) +
ylab(product2) +
ggtitle("Correlation Scatter Plot (Pearson)") +
theme(plot.title = element_text(hjust = 0.5, face = "bold"))
请注意:
- 我写了
colour = "black"
- 我把
scale_colour_brewer
改成了scale_fill_brewer
- 我写了
fill = year
而不是 colour = year
(因为看不到最后的结果所以加大了点数)
我用 ggplot()
绘制散点图并使用特定的调色板,即 'Greens'
。基本上我对情节非常满意,但我希望每个点周围都有黑色边框。我的剧情代码是:
p <- ggplot(data = df.dataCorrelation, aes(x = prod1, y = prod2)) +
geom_point(aes(color = year)) +
geom_smooth(method = "lm", se = FALSE, color = "#007d3c") +
theme_classic() +
theme(legend.position = "none") +
theme(panel.background = element_blank()) +
scale_color_brewer(palette = 'Greens') + # customized color palette
xlab(product1) +
ylab(product2) +
ggtitle("Correlation Scatter Plot (Pearson)") +
theme(plot.title = element_text(hjust = 0.5, face = "bold"))
并提供以下图形:
我知道我可以用命令画黑边:
geom_point(aes(color = year, fill = ?), color = "black", pch = 21)
,
但这不适用于我选择的调色板,因为我不知道在 fill = ?
试试这个。
此处为可重现示例的数据
library(dplyr)
product1 <- "product1"
product2 <- "product2"
df.dataCorrelation <- iris %>% rename(prod1 = Petal.Length,
prod2 = Petal.Width,
year = Species)
这是你的代码
library(ggplot2)
ggplot(data = df.dataCorrelation, aes(x = prod1, y = prod2)) +
geom_point(aes(fill = year), colour = "black", shape = 21, size = 3) +
geom_smooth(method = "lm", se = FALSE, color = "#007d3c") +
theme_classic() +
theme(legend.position = "none") +
theme(panel.background = element_blank()) +
scale_fill_brewer(palette = 'Greens') + # customized color palette
xlab(product1) +
ylab(product2) +
ggtitle("Correlation Scatter Plot (Pearson)") +
theme(plot.title = element_text(hjust = 0.5, face = "bold"))
请注意:
- 我写了
colour = "black"
- 我把
scale_colour_brewer
改成了scale_fill_brewer
- 我写了
fill = year
而不是colour = year
(因为看不到最后的结果所以加大了点数)