CODEWITHSUNDEEP
rggplot2
user1723765
user1723765

Reputation: 6409

Plot vector as barplot

I have a vector:

x<-c(1,1,1,1,2,3,5,1,1,1,2,4,9)
y<-length(x)

I would like to plot this such that each value is plotted separately instead of plotting counts.

So basically each value should be represented separately in the plot where the length of the x axis is equal to y and each value is plotted on the y axis.

How can this be done using qplot?

for a matrix:

a<-matrix(NA, ncol=3, nrow=100)

a[,1]<-1:100
a[,2]<-rnorm(100)
a[,3]<-rnorm(100)

a<-melt(as.data.frame(a),id.vars="V1")

ggplot(a,aes(seq_along(a),a))+geom_bar(stat="identity")+facet_wrap(V1)

Upvotes: 4

Views: 12812

Answers (3)

Sandipan Dey
Sandipan Dey

Reputation: 23129

you can try this too without creating a dataframe explicitly:

ggplot() + geom_bar(aes(x=seq_along(x),y=x), stat='identity') + xlab('x') + ylab('y')

enter image description here

Upvotes: 2

vamosrafa
vamosrafa

Reputation: 695

Simple Solution:

barplot(x,xlim = c(0,15), ylim = c(0,10))

xlim and ylim are scaled, depending on the vector length

Upvotes: 1

Didzis Elferts
Didzis Elferts

Reputation: 98589

With ggplot2 use x as y values and make sequence along x values for the x axis.

ggplot(data.frame(x),aes(seq_along(x),x))+geom_bar(stat="identity")

enter image description here

If you have matrix a and you need to make plot for each row then melt it and then use variable for x axis and value for the y axis

a<-melt(as.data.frame(a),id.vars=1)

ggplot(a,aes(variable,value))+geom_bar(stat="identity")+facet_wrap(~V1)

enter image description here

Upvotes: 12

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