2010-02-25 50 views
10

在该R很容易把一个矩阵划分成箱线图如何产生使用矩阵

> myMatrix 
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] 
[1,] 27 32 31 28 20 28 10 29 15 29 
[2,] 31 33 20 28 21 9 14 21 34 33 
[3,] 27 33 28 23 26 33 19 11 26 30 
[4,] 33 17 10 31 10 32 10 29 31 28 
[5,] 25 10 29 34 32 33 28 32 32 32 
[6,] 32 19 13 32 26 20 9 26 32 33 
[7,] 33 32 18 26 27 28 29 32 24 25 
[8,] 33 34 32 30 27 31 22 32 33 30 
[9,] 32 34 31 22 17 31 11 27 18 23 
[10,] 26 10 30 30 27 4 4 4 4  4 

> boxplot(as.data.frame(myMatrix)) 

如何做到在ggplot同样的事情在ggplot箱线图?

回答

8

您可以使用melt()函数,然后使用geom_boxplot()。 首先再现数据(感谢到Excel):

vec <- c(c(27, 32, 31, 28, 20, 28, 10, 29, 15, 29), 
+ c(31, 33, 20, 28, 21,  9, 14, 21, 34, 33), 
+ c(27, 33, 28, 23, 26, 33, 19, 11, 26, 30), 
+ c(33, 17, 10, 31, 10, 32, 10, 29, 31, 28), 
+ c(25, 10, 29, 34, 32, 33, 28, 32, 32, 32), 
+ c(32, 19, 13, 32, 26, 20,  9, 26, 32, 33), 
+ c(33, 32, 18, 26, 27, 28, 29, 32, 24, 25), 
+ c(33, 34, 32, 30, 27, 31, 22, 32, 33, 30), 
+ c(32, 34, 31, 22, 17, 31, 11, 27, 18, 23), 
+ c(26, 10, 30, 30, 27,  4,  4,  4,  4, 4)) 
myMatrix <- matrix(data=vec, ncol=10, byrow=TRUE) 

然后融化和情节:

library(reshape) 
library(ggplot2) 
ggplot(data=melt(as.data.frame(myMatrix)), aes(variable, value)) + geom_boxplot() 

而且,哈德利建议(很久以前)的意见,没有必要铸矩阵到数据帧:

ggplot(data=melt(myMatrix), aes(as.factor(X2), value)) + geom_boxplot() 
+2

您可以直接熔化矩阵... – hadley 2011-05-30 13:08:55