Question:

I have a data of 100 rolls of two dice, which can take on 11 values -> {2,3,4,5,6,7,8,9,10,11,12}

How do I create a histogram in R that would show all 11 of them, each as it's own bar with a label for each one of them.

hist(data$X1,breaks=c(1,2,3,4,5,6,7,8,9,10,11,12,13),col = "lightblue",xlab="Sum of a roll")

Only gives 10 bars.

EDIT:

I did something approximate with moving breaks 0.5 up like so:

breaks=c(1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5,12.5,13.5)

Histograms can also be plotted with ggplot. Using @flodel's data:

dd = data.frame(table(sums)) ggplot(dd)+geom_bar(aes(x=sums, y=Freq), stat='identity')

<img alt="enter image description here" class="b-lazy" data-src="https://i.stack.imgur.com/xtx9n.png" data-original="https://i.stack.imgur.com/xtx9n.png" src="https://etrip.eimg.top/images/2019/05/07/timg.gif" />

You could just do a barplot of the frequency table:

num.dices <- 2L num.rolls <- 100000L outcomes <- matrix(sample(1:6, num.dices * num.rolls, replace = TRUE), nrow = num.rolls, ncol = num.dices) sums <- rowSums(outcomes) barplot(table(sums))

<img alt="enter image description here" class="b-lazy" data-src="https://i.stack.imgur.com/AHWgm.png" data-original="https://i.stack.imgur.com/AHWgm.png" src="https://etrip.eimg.top/images/2019/05/07/timg.gif" />