Menu
In R it is easy to turn a matrix into a boxplot
> 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))
How do I accomplish the same thing in ggplot?
388
If we want to create boxplot for matrix columns then we need to convert the matrix into data frame and then use the boxplot function. For example, if we have a matrix called M then the boxplot for columns in M can be created by using boxplot(as. data. frame(M)).
In ggplot2, geom_boxplot() is used to create a boxplot. Let us first create a regular boxplot, for that we first have to import all the required libraries and dataset in use. Then simply put all the attributes to plot by in ggplot() function along with geom_boxplot.
The boxplot compactly displays the distribution of a continuous variable. It visualises five summary statistics (the median, two hinges and two whiskers), and all "outlying" points individually.
A boxplot summarizes the distribution of a continuous variable and notably displays the median of each group.
You could use the melt() function and then geom_boxplot(). First reproduce the data (thanks to 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)
Then melt and plot:
library(reshape)
library(ggplot2)
ggplot(data=melt(as.data.frame(myMatrix)), aes(variable, value)) + geom_boxplot()
Also, as Hadley suggested (long ago) in the comments, there is no need to cast the matrix to a data frame:
ggplot(data=melt(myMatrix), aes(as.factor(X2), value)) + geom_boxplot()
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
