Calculate mean of data in R

Calculate mean of data in R studio

To calculate the mean of a set of data in R, you can use the mean() function. This function takes a numeric vector as an argument and returns the mean of the values in the vector.

Here is an example of how to use the mean() function to calculate the mean of a vector of numbers:

# Create a vector of numbers
x <- c(1, 2, 3, 4, 5)

# Calculate the mean of the vector
mean(x)

The mean() function will return the result 3, which is the mean of the values in the vector x.

You can also use the mean() function to calculate the mean of a column of a data frame. For example:

# Load a data frame
data <- read.csv("data.csv")

# Calculate the mean of a column in the data frame
mean(data$column_name)

This will calculate the mean of the values in the column_name column of the data frame data.

Note that the mean() function will ignore any missing or NA values in the data. If you want to include missing values in the calculation, you can use the na.rm = FALSE argument:

mean(x, na.rm = FALSE)

This will include missing values in the calculation of the mean.

Overall, the mean() function is a simple and effective way to calculate the mean of a set of data in R.

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