In general, R supports: NULL. NA. NaN. Inf / -Inf. NULL is an object and is returned when an expression or function results in an undefined value. In R language, NULL (capital letters) is a reserved word and can also be the product of importing data with unknown data type. NA is a logical constant of length 1 and is an indicator for a missing.. The R interpreter tries to guess if you mean for it to continue to the next line: If you obviously haven’t finished a command on one line, it will assume you want to continue instead of throwing.
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Definition of mean(): The mean R function computes the arithmetic mean of a numeric input vector. In the following, I’ll explain in four examples how to apply the mean function in R. Let’s move on to the examples! Example 1: Basic Application of mean() in R. First, let’s create a numeric example vector, to which we can apply the mean R.. In preparation for the example, we have to create a data frame in R. We can do that by executing the following R syntax: data <-data. frame (x1 = 1: 5, # Create example data x2 = letters [1: 5], x3 = 9) data # Print example data . As shown in Table 1, we have created a data frame with five rows and three columns with the previous R syntax..
