## R Factor

### Factor

• A Factor is a vector object used to specify a discrete classification (grouping) of the components of other vectors of the same length
• Factor variables are categorical variables that can be either numeric or string type
• R provides both ordered and unordered factors
Syntax
```//Syntax:
>factor(x)

>as.factor(x)```

x can be a vector, list, matrix or a dataframe

Syntax
`>is.factor(x)`

it checks if an object is a factor or not and returns a Boolean value

CODE/PROGRAM/EXAMPLE
```var <- c(1,0,1,0,0,1,0,1,1,0)
var1 <- factor(var)
is.factor(var1)
[1]TRUE

var1
[1] 1 0 1 0 0 1 0 1 1 0
Levels: 0 1

var2 <- as.factor(var)
var2
[1] 1 0 1 0 0 1 0 1 1 0
Levels: 0 1```

Consider the following data with different types of waste and convert it to a factor using as

CODE/PROGRAM/EXAMPLE
```x <- c('organic', 'metal', 'plastic',
+  'plastic', 'organic', 'metal', 'metal',
+  'metal', 'organic', 'paper', 'plastic',
+  'glass', 'mixed', 'e-waste', 'glass',
+  'glass', 'e-waste', 'glass', 'metal')```

Output:

Factors give us the following information

• The Levels gives us the unique values in the dataset
• table(x) gives us the frequency of individual items available
• level(x) gives us the levels of the factor

### Ordered Factor

In an Ordered Factor, logical flag is set to determine if the levels should be regarded as ordered or not

Consider a vector named ‘depth’. By using the option ‘ordered = TRUE’, it can be converted to an ordered factor

CODE/PROGRAM/EXAMPLE
```#UnOrdered Factors
depth <- c("Low", "High", "Medium", "High",
"High", "Medium", "Medium", "Low",
"Low", "Low", "High", "Low")
depth.f <- factor(depth)```

Output:

CODE/PROGRAM/EXAMPLE
```#Ordered Factors
depth.f <- factor(depth, levels = c("Low", "Medium", "High"), ordered = TRUE)```

Output:

#factor_in_r_language #r_language_factor #syntax_of_factor_in_language #syntax_of_factor_in_programming #example_of_factor_in_language #example_of_factor_in_programming

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