# How to Apply the cummax & cummin Functions in R (2 Examples)

In this R tutorial you’ll learn how to compute cumulative maxima and minima using the cummax and cummin functions.

## Example Data

```data(iris) # Example data head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa```

## Example 1: Applying cummax() Function to Compute Cumulative Maxima of Column

```cummax(iris\$Sepal.Length) # Using cummax() function # [1] 5.1 5.1 5.1 5.1 5.1 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.4 5.8 5.8 5.8 5.8 # [19] 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 # [37] 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 5.8 7.0 7.0 7.0 7.0 # [55] 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 # [73] 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 # [91] 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0 7.1 7.1 7.1 7.6 7.6 7.6 # [109] 7.6 7.6 7.6 7.6 7.6 7.6 7.6 7.6 7.6 7.7 7.7 7.7 7.7 7.7 7.7 7.7 7.7 7.7 # [127] 7.7 7.7 7.7 7.7 7.7 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 7.9 # [145] 7.9 7.9 7.9 7.9 7.9 7.9```

## Example 2: Applying cummin() Function to Compute Cumulative Minima of Column

```cummin(iris\$Sepal.Length) # Using cummin() function # [1] 5.1 4.9 4.7 4.6 4.6 4.6 4.6 4.6 4.4 4.4 4.4 4.4 4.4 4.3 4.3 4.3 4.3 4.3 # [19] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [37] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [55] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [73] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [91] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [109] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [127] 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 # [145] 4.3 4.3 4.3 4.3 4.3 4.3```