R max() and min() Functions

max()

The max() function in R finds the maximum value of a vector or data frame. For example,  if you have vec <- c(21, 19, 11, 2, 18, 3), then max(vec) will return 21.

This function can be used with any data type that is coercible to a numeric type, including logical vectors where TRUE is treated as 1 and FALSE as 0.

Syntax

max(input, na.rm = FALSE)

Parameters

Finding the maximum value of a vector

Let’s define a vector and find the maximum value from it.

rv <- c(19, 21, -20, -46, 29)

cat("The maximum value of thev vector is:", max(rv))

# Output: The maximum value of thev vector is: 29

You can see from the vector that mathematically, the maximum value is 29, and we get the same output.

Ignoring NA values

If you add the NA value as missing data to the vector, it will return the NA value as a maximum value because it is not what the NA value represents.

rv <- c(19, 21, -20, NA, 29)

cat("The maximum value of thev vector is:", max(rv))

# Output: The maximum value of thev vector is: NA

But don’t worry, and there is an easy solution! Just specify the option na.rm = TRUE within the max() function.

rv <- c(19, 21, -20, NA, 29)

cat("The maximum value of thev vector is:", max(rv, na.rm = TRUE))

# Output: The maximum value of thev vector is: 29

Using max() function on data frame

To get the max value from the whole data frame, pass the data frame to this method.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

max(df)

# Output: [1] 46

Finding the maximum value between two columns

If you want to find the maximum value between specific columns, pass those columns to this function.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

max(c(df$col1, df$col3))

# Output: [1] 25

Finding the maximum of the row

Pass the row’s index to get the maximum value of that exact row of the data frame.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

max(df[2, ])

# Output: [1] 46

Finding a global max value of a specific column of a dataset

Import the specific dataset and select the specific column using $ operator. Then, find out its maximum value.

data(ChickWeight)
val <- max(ChickWeight$weight)
cat("The maximum value of weight column is:", val)

# Output: The maximum value of weight column is: 373

That means the maximum weight of the ChickWeight dataset is 373.

Finding the maximum global value of the dataset

data(mtcars)
max(mtcars)

# Output: [1] 472

min()

The min() function finds the smallest value in a given set of numbers in a vector or data frame.

Syntax

min(input, na.rm = FALSE)

Parameters

Finding a minimum value of a vector

Let’s define a vector with positive and negative values and find the minimum value.

rv <- c(19, 21, -20, -46, 29)

cat("The minimum value of thev vector is:", min(rv))

# Output: The minimum value of thev vector is: -46

Dealing with NA Values

If you add the NA value as missing data to the vector, it will return the NA value as a minimum value.

rv <- c(19, 21, -20, -46, NA)

cat("The minimum value of thev vector is:", min(rv))

# Output: The minimum value of thev vector is: NA

But don’t worry, and there is an easy solution! Just specify the option na.rm = TRUE.

rv <- c(19, 21, -20, -46, NA)

cat("The minimum value of thev vector is:", min(rv, na.rm = TRUE))

# Output: The minimum value of thev vector is: -46

Usage with character vector

If you are using character vectors, the min() function will consider alphabetical order and return the minimum value according to that.

character_vector <- c("Tata", "Azad", "Shelter", "Credo", "Ireda")

min(character_vector)

# Output: [1] "Azad"

Finding a minimum value of a single data frame column

To find a specific column’s minimum value, pass that specific column to the min() method.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

min(df$col3)

# Output: [1] 5

Finding a minimum value across all data frame columns

To find the minimum value across all the df columns, pass the df to this method.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

min(df)

# Output: [1] 5

Finding the minimum value between two columns

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

min(c(df$col1, df$col2))

# Output: [1] 10

Finding the minimum value of a specific row

You can find the minimum value of a specific row by passing the index of the row using the square brackets “([ ])” of a data frame.

df <- data.frame(
  "col1" = c(21, 19, 11),
  "col2" = c(18, 46, 10),
  "col3" = c(5, 15, 25)
)

min(df[2, ])

# Output: [1] 15

Finding the minimum value of a specific column of a dataset

We can apply the min() function to that specific column by using the $ operator with the name of the data.

data(ChickWeight)

val <- min(ChickWeight$weight)

cat("The minimum value of weight column is:", val)

# Output: The minimum value of weight column is: 35

That’s it!

Krunal Lathiya

Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.