如何在 R 中使用多个变量构建 Plot Histogram?
How to build Plot Histogram in R with multiple variables?
有人帮我建立这个数据集的直方图吗?
dat2 <- data.frame(mean_setosa, mean_versicolor, mean_virginica)
谢谢!
enter image description here
你可以使用 barplot
:
d <- aggregate(Petal.Length~Species, data = iris, FUN = mean)
Species Petal.Length
1 setosa 1.462
2 versicolor 4.260
3 virginica 5.552
barplot(Petal.Length~Species, data = d)
使用 ggplot2
图形包,您可以:
library(ggplot2)
ggplot(d, aes(x = Species, y = Petal.Length))+
geom_col()
有人帮我建立这个数据集的直方图吗?
dat2 <- data.frame(mean_setosa, mean_versicolor, mean_virginica)
谢谢!
enter image description here
你可以使用 barplot
:
d <- aggregate(Petal.Length~Species, data = iris, FUN = mean)
Species Petal.Length
1 setosa 1.462
2 versicolor 4.260
3 virginica 5.552
barplot(Petal.Length~Species, data = d)
使用 ggplot2
图形包,您可以:
library(ggplot2)
ggplot(d, aes(x = Species, y = Petal.Length))+
geom_col()