any() Function In R: Check any values in a vector

In this article, you will learn how to use the any() function in R for implicit vector iteration (not literally). To showcase these functions, working code samples are provided.

What is the any() function in R?

In the R language, the any() function may be used to determine whether any values in a vector evaluate to TRUE given some expression. Following the syntax of this function below.

Syntax:

any(..., na.rm = FALSE)

Parameters:

• …: The logical vectors.
• na.rm: If TRUE, the NA values are deleted before computing the result. 

How to use the any() function in R?

Using the any() function with vectors

Here, we will create three vectors for this example.

# Create vectors
vec1 <- c(1, 3, 5, 7, 9)
vec2 <- c(2, 4, 6, 8)
vec3 <- c(11, 5, 9, 7, 12, 33)

# View vectors
vec1
vec2
vec3

Output

[1] 1 3 5 7 9
[1] 2 4 6 8
[1]  1 11  5  9  7 12 33

Will we apply any() function to check vec1 and vec2 in vec3?

# Create vectors
vec1 <- c(1, 3, 5, 7, 9)
vec2 <- c(2, 4, 6, 8)
vec3 <- c(1, 11, 5, 9, 7, 12, 33)

# Check
any(vec1 %in% vec3)
any(vec2 %in% vec3)

Output

[1] TRUE
[1] FALSE

For another example, we will apply any() function to check the number lower than 5 as follows:

# Create vectors
vec1 <- c(1, 3, 5, 7, 9)
vec2 <- c(2, 4, 6, 8)
vec3 <- c(11, 5, 9, 7, 12, 33)

# Check
any(vec1 < 5)
any(vec2 < 5)
any(vec3 < 5)

Output

[1] TRUE
[1] TRUE
[1] FALSE

Using the any() with a data frame

Similarly, we will create a data frame as follows:

# Create a data frame
df <- data.frame(
    name = c(
        "Robert A. Jordan", "Lena B. Fontana", "Robert G. Ferguson",
        "Kathy S. Farley", "William P. Fairbank", "Jeffrey J. Anderson"
    ),
    ID = c(11110, 11111, 11112, 11113, 11114, 11115),
    Math = c(9, 5, 6, 8, 9, 7),
    English = c(8, 9, 8, 8, 10, 8)
)

# View a data frame
df

Output

                name    ID Math English
1    Robert A. Jordan 11110    9       8
2     Lena B. Fontana 11111    5       9
3  Robert G. Ferguson 11112    6       8
4     Kathy S. Farley 11113    8       8
5 William P. Fairbank 11114    9      10
6 Jeffrey J. Anderson 11115    7       8

Now, we will use the any() function for this data frame. See the code example below; you will get more information.

# Create a data frame
df <- data.frame(
    name = c(
        "Robert A. Jordan", "Lena B. Fontana", "Robert G. Ferguson",
        "Kathy S. Farley", "William P. Fairbank", "Jeffrey J. Anderson"
    ),
    ID = c(11110, 11111, 11112, 11113, 11114, 11115),
    Math = c(9, 5, 3, 2, 9, 7),
    English = c(8, 9, 8, 8, 10, 8)
)

# Check if any values are less than 5 in Math and English columns
any(df$Math < 5) # TRUE
any(df$English < 5) # FALSE

# Check if any values are equal to 10 in Math and English columns
any(df$Math == 10) # FALSE
any(df$English == 10) # TRUE

# Check any NA values in Math and English columns
any(is.na(df$Math)) # FALSE
any(is.na(df$English)) # FALSE

Output

[1] TRUE
[1] FALSE
[1] FALSE
[1] TRUE
[1] FALSE
[1] FALSE

Summary

This article demonstrates how to use the any() function in the R programming language to check any values in a vector. If you have any questions, please leave a comment below. Thanks for reading!

Maybe you are interested:

• The ln() function in R
• lead function in R: Set the NA values at the end of the R object.
• lowess in R: Scatter Plot Smoothing

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