Take a dataset, sort the data from smallest to largest and split it in 4 equal subsets. The quartiles are the values of the dataset that cut it off in 4.

Quartiles are called:

**Q1**: the first**quartile**under which the first 25% of the data in the set can be found,**Q2**: the second**quartile**under which the first 50% of the data in the set can be found (by the way, Q2 is also the**median**),**Q3**: the third**quartile**under which the first 75% of the data in the set can be found.

In addition, one refers to:

**Q0**: the**minimum**value in the set,**Q4**: the**maximum**value in the set.

For info, note that the set of data between Q1 and Q3 (which contains the middle 50% of the data) is the** interquartile range** (IQR).

In R, quartiles may be obtained using the function `quantile()`

(NB: this is not a typo, it is quaNtile and not quaRtile, there is a good explanation for it, believe me…). If you choose to use only `quantile()`

with no other argument than the vector containing the dataset, R returns Q0, Q1, Q2, Q3, Q4 and Q5. If you need only Q1, Q2 and Q3, say it in an extra argument (see the following example):

my.dataset <- c(1,2,3,4,5,6,7,8,9,10) quantile(my.dataset) quantile(my.dataset, c(0.25, 0.5, 0.75))