# How to Fix: no non-missing arguments to min; returning Inf

One warning message you may encounter in R is:

```Warning message:
In min(data) : no non-missing arguments to min; returning Inf
```

This warning message appears whenever you attempt to find the minimum or maximum value of a vector that has a length of zero.

It’s important to note that this is only a warning message and it won’t actually prevent your code from running.

However, you can use one of the following methods to avoid this warning message entirely:

Method 1: Suppress the Warning Message

`suppressWarnings(min(data))`

Method 2: Define a Custom Function to Calculate the Min or Max

```#define custom function to calculate min
custom_min <- function(x) {if (length(x)>0) min(x) else Inf}

#use custom function to calculate min of data
custom_min(data)```

The following examples show how to use each method in practice.

### Method 1: Suppress the Warning Message

Suppose we attempt to use the min() function to find the minimum value of a vector with a length of zero:

```#define vector with no values
data <- numeric(0)

#attempt to find min value of vector
min(data)

 Inf
Warning message:
In min(data) : no non-missing arguments to min; returning Inf
```

Notice that we receive a warning message that tells us we attempted to find the minimum value of a vector with no non-missing arguments.

To avoid this warning message, we can use the suppressWarnings() function:

```#define vector with no values
data <- numeric(0)

#find minimum value of vector
suppressWarnings(min(data))

 Inf
```

The minimum value is still calculated to be “Inf” but we receive no warning message this time.

### Method 2: Define a Custom Function

Another way to avoid the warning message is to define a custom function that only calculates the minimum value if the length of a vector is greater than zero, otherwise a value of “Inf” is returned:

```#define vector with no values
data <- numeric(0)

#define custom function to calculate min
custom_min <- function(x) {if (length(x)>0) min(x) else Inf}

#use custom function to calculate min
custom_min(data)

 Inf
```

Notice that the minimum value is calculated to be “Inf” and we receive no warning message.