To **center** a dataset means to subtract the mean value from each individual observation in the dataset.

For example, suppose we have the following dataset:

It turns out that the mean value is 14. Thus, to center this dataset we would subtract 14 from each individual observation:

Note that the mean value of the centered dataset is zero.

This tutorial provides several examples of how to center data in R.

**Example 1: Center the Values of a Vector**

The following code shows how to use the scale() function from base R to center the values in a vector:

#create vector data <- c(4, 6, 9, 13, 14, 17, 18, 19, 19, 21) #subtract the mean value from each observation in the vector scale(data, scale=FALSE) [,1] [1,] -10 [2,] -8 [3,] -5 [4,] -1 [5,] 0 [6,] 3 [7,] 4 [8,] 5 [9,] 5 [10,] 7 attr(,"scaled:center") [1] 14

The resulting values are the centered values of the dataset. The scale() function also tells us that the mean value of the dataset is 14.

Note that the **scale()** function, by default, subtracts the mean from each individual observation and then divides by the standard deviation.

By specifying **scale=FALSE**, we tell R not to divide by the standard deviation.

**Example 2: Center the Columns in a Data Frame**

The following code shows how to use the sapply() function and the scale() function from base R to center the values of each column of a data frame:

#create data frame df <- data.frame(x = c(1, 4, 5, 6, 6, 8, 9), y = c(7, 7, 8, 8, 8, 9, 12), z = c(3, 3, 4, 4, 6, 7, 7)) #center each column in the data frame df_new <- sapply(df, function(x) scale(x, scale=FALSE)) #display data frame df_new x y z [1,] -4.5714286 -1.4285714 -1.8571429 [2,] -1.5714286 -1.4285714 -1.8571429 [3,] -0.5714286 -0.4285714 -0.8571429 [4,] 0.4285714 -0.4285714 -0.8571429 [5,] 0.4285714 -0.4285714 1.1428571 [6,] 2.4285714 0.5714286 2.1428571 [7,] 3.4285714 3.5714286 2.1428571

We can verify that the mean of each column in the new data frame is equal to zero by using the **colMeans()** function:

colMeans(df_new) x y z 2.537653e-16 -2.537653e-16 3.806479e-16

The values are shown in scientific notation, but each value is essentially equal to zero.

**Additional Resources**

How to Average Across Columns in R

How to Sum Specific Columns in R

How to Remove Outliers from Multiple Columns in R