Ploting a matrix using ggplot2 in R

Question

I want to plot using ggplot2 the distribution of 5 variables corresponding to a matrix's column names

a <- matrix(runif(1:25),ncol=5,nrow=1)
colnames(a) <- c("a","b","c","d","e")
rownames(a) <- c("count")

I tried:

ggplot(data=melt(a),aes(x=colnames(a),y=a[,1]))+ geom_point()

However, this gives a result as if all columns had the same y value

Note: i'm using the reshape package for the melt() function

Community · Accepted Answer · 2020-06-20 09:12:55Z

1

All columns look like they have the same y-value because you are only specifying 1 number in the y= statement. You are saying y=a[,1] which if you type a[,1] into your command window you will find is 0.556 (the number that everything is appearing at). I think this is what you want:

library(reshape2)
library(ggplot2)

a_melt<- melt(a)
ggplot(data=a_melt,aes(x=unique(Var2),y=value))+ geom_point()

Note that I saved a new dataset called a_melt so that things were easier to reference. Also since the data was melted,it is cleaner if we define our x-values to be the Var2 column of a_meltrather than the columns of a.

edited Jun 20, 2020 at 9:12

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answered Jun 30, 2016 at 22:23

Mike H.

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2 Comments

Imlerith Over a year ago

I get Error in unique(Var2) : object 'Var2' not found. From where do Var2 and value come from ?

Mike H. Over a year ago

The code works for me. Did you run it using the original data you posted?

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