# Any and All Functions in R Programming

Instructor: Martin Gibbs

Martin has 16 years experience in Human Resources Information Systems and has a PhD in Information Technology Management. He is an adjunct professor of computer science and computer programming.

In this lesson, you will learn how R's any and all functions (not literally any and all) are used for implicit iteration of vectors. Working code examples are provided to highlight these functions.

## Any and All Functions?!

Don't panic, we aren't actually covering any and all functions in R! We mean the any and the all functions that are a part of R. They are used to check if elements within a vector are True.

These functions use implicit iteration, meaning that they will step through each element of a vector, but you don't have to create a special loop to do so. Think of the seq function: All you have to do is provide a start and an end, and R performs a loop.

The same is true for the any and all functions. These functions are used to search vectors. While you still need to provide a search term, R performs an implicit iteration of the vector, and spits back a TRUE or FALSE. Let's take a look at these functions, starting with any.

### Any

The any function in R will tell if you if there are ANY of the given search terms in your vector. It returns either TRUE or FALSE. To demonstrate this function, let's create a quick vector that goes from -3 to 5, incrementing by 1.

`y <- seq(-3, 5, by = 1)`

Now we can use the any function. There are several ways to use this, the simplest is to enter the function and provide the condition. In our case, we'll check for any negative numbers (e.g., x < 0):

`any(x < 0)`

Since you only have to provide the name of the vector and the condition, this is the implicit iteration. After entering the previous code and hitting Enter, R will display the following:

[1] TRUE

This means that the vector x contains negative values.

Another option is to create an if statement to check for any negative values in the vector.

`if(any(y < 0)) cat("Negative Values Found")`

Instead of TRUE, the result will now display the message defined in the if statement.

So far we have determined if any value is negative; next we can check if ALL values meet the condition.

### All

We can run a test to see if all values meet a condition. Since R is a tool for statistics and data science, you may not know what values you have in a given vector.

The following code is a bit advanced, but it creates a distribution; it is displayed here to demonstrate the generation of a sequence in which you don't know the end result.

`range(q <- sort(round(stats::rnorm(15) - .6, 1)))`

When I ran the previous code, the result was:

[1] -1.0 2.7

Now we can check to see if ALL the numbers are negative. Of course we know the answer, but as part of advanced R data analysis, we may not know. This is where the all function comes in handy: We can use it just as we used the any function.

`if(all(q < 0)) cat("All Negative Values Found")`

In our case, the result of all(q) is FALSE, and our little message won't display.

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