The function `hist()`

is a very simple function which does not require much to build a histogram of frequency (representing the distribution of data series) based on the content of a vector. Simply typing `hist(z)`

, for example, creates a histogram of the vector z made of 10 bars (by default).

Let’s try it on the vector `data.`

For the purpose of this example, we’ll create a random series of 200 values, with a mean of 65 and a SD of 15 using `rnorm()`

(by the way, those values are normally distributed…):

[code language=”r”]

data <- rnorm(200, mean=65, sd=15)

hist(data)

[/code]

Adding simple arguments such as `col=`

and `breaks=`

change the look of the histogram by adding colors to the bars and changing the number of bars in the graph.

[code language=”r”]

hist(data, col=c("grey", "red", "blue"),

breaks=20)

[/code]