# R if else Multiple Conditions

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• Post category:R Programming

What is the syntax to perform if else with multiple conditions in R? In R Programming, you can perform if else with multiple conditions either by using if…else statement or ifelse() function. And, you would need to use logical operators & for AND, | for OR.

## 1. Quick Examples of if else Multiple Conditions

The following are quick examples of how to perform if else with multiple conditions.

``````
# multiple conditions with & (AND)
a=50
if( a >= 40 & b <= 60 ){
print('a value is in between 40 and 60')
}

# Multiple conditions with | (OR)
str = 'HELLO'
if(str == "HELLO" | str == "hello"){
print("str value is hello")
}

# Using ifelse() statement
a=50
val = ifelse(a >= 40 & b <= 60, 'TRUE', "FALSE")
print(val)

# Using multiple conditions on DataFrame
df\$size <- ifelse(df\$chapters > 0 & df\$chapters < 20, 'SMALL','BIG')
``````

## 2. R if else Multiple Conditions with And (&)

R uses `&` as local AND that would be used to check if else statement with multiple conditions.

The logical AND (`&`) operator will be `TRUE` if and only if all the operands are `TRUE`. Otherwise, it will be `FALSE`. It evaluates operads from left to right and returns immediately when the first condition or operand becomes `FALSE`.

``````
# Multiple conditions with and
a=50
if( a >= 40 & b <= 60 ){
print('a value is in between 40 and 60')
}

# Output
#[1] "a value is in between 40 and 60"
``````

## 3. R if else Multiple Conditions with Or (|)

R uses `|` as local OR that would be used to check if else statement with multiple conditions.

The logical OR (`|`) operator will be `TRUE` if any operands are `TRUE`. if all operands `FALSE`, it will be `FALSE`. It evaluates operads from left to right and returns immediately when the first condition or operand becomes `TRUE`.

``````
# Multiple conditions with or
str = 'HELLO'
if(str == "HELLO" | str == "hello"){
print("str value is hello")
}

# Output
#[1] "str value is hello"
``````

## 4. Using ifelse() Function

R Base also has a function ifelse() that can be used similarly to if…else statement. This function takes three parameters. First the single or multiple conditions, second the value to be returned when the condition evaluates `TRUE` and third the value to return when the condition evaluates `FALSE`.

``````
# Using ifelse() statement
a=50
val = ifelse(a >= 40 & b <= 60, 'TRUE', "FALSE")
print(val)

# Output
#[1] "TRUE"
``````

## 5. Multiple Conditions with DataFrame

The following example shows that how to add a new column `size` to the DataFrame by using if else with multiple conditions in R. Here, we use dollar (\$) in R to refer to DataFrame columns.

``````
# Create dataframe
df=data.frame(id=c(11,22,33,44,55),
pages=c(32,45,33,22,56),
name=c("spark","python","R","java","jsp"),
chapters=c(76,86,11,15,7),
price=c(144,553,321,567,890))

#display the dataframe
print(df)

# Using multiple conditions
df\$size <- ifelse(df\$chapters > 0 & df\$chapters < 20, 'SMALL','BIG')
``````

Yields below output.

## Conclusion

To perform multiple conditions in R you should use logical operators with in if…else statement or iflese() functions. The logical operators are & for AND, | for OR. The logical AND (`&`) operator will be `TRUE` if and only if all the operands are `TRUE`. Otherwise, it will be `FALSE`. It evaluates operads from left to right and returns immediately when the first condition or operand becomes `FALSE`. The logical OR (`|`) operator will be `TRUE` if any operands are `TRUE`. if all operands `FALSE`, it will be `FALSE`. It evaluates operads from left to right and returns immediately when the first condition or operand becomes `TRUE`.

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