Recall that in R language a factor is a variable that defines a partition into groups. A single factor variable can be used to create a simple frequency table in R, while a pair of factors can be used to define a two-way cross-classification (contingency or frequency distribution). For this purpose, the `table()`

function allows to creation of frequency tables. The frequency table is calculated from equal length factors.

### Frequency Table in R of Categorical/ Group/ Factor Variable

We will use the “mtcars” dataset. For the variable $gear$, let us create a frequency table using the `table()`

function. The `table()`

function will count the gear code for each entry in the data vector. For example,

attach(mtcars) freq <- table(gear) freq

The freq object will give a table of frequencies of each gear code in the sample. It is important to note that, the frequencies are ordered and labeled by the levels attribute of the factor.

### Frequency Distribution of a Continuous Variable

One can also create a frequency distribution table for a continuous variable. Suppose from the mtcars data set, we are interested in creating a frequency table of $mpg$ variable. For this purpose, first, we need to define the cut points or bins to define the classes/groups of the frequency table. For example,

cut(mpg, 10+5*(0:5)) ## Output (10,15] (15,20] (20,25] (25,30] (30,35] 6 12 8 2 4

The `cut()`

function is used to split the continuous data vector into groups. The groups are defined by creating a sequence of values using `10+5*(0:5)`

, that is

10+5*(0:5) ## Output 10 15 20 25 30 35

The `cut()`

function, cuts and counts the occurrence of each observation of mpg regarding the cut points created using `breaks = 10+5*(0:5)`

. The frequency table will be

### Creating Graph of Frequency Table

For the frequency table created above, one can easily create different graphical representations, such as pie charts and bar plots of the frequency table. For example,

freq<-table(cut(mpg, 10+5*(0:5))) pie(freq) hist(freq) barplot(freq) plot(freq)

Note that: for a $k$ factor argument, the result is a $k$-way array of frequencies.

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