![]() We get the standard deviation in the “Age” column as 2.236068. Let’s compute the standard deviation in the “Age” column. You can use the ] notation to access the values of a column. To calculate the standard deviation of values in a column, pass the column values as an argument to the sd() function. Step 2 – Calculate the standard deviation column values using the sd() function The dataframe has two columns – “Name” and “Age”. We now have a dataframe containing information about some employees in an office. Step 1 – Create a dataframeįirst, we will create an R dataframe that we will be using throughout this tutorial. Let’s now look at a step-by-step example of using the above syntax to compute the std dev of a numeric column in R. Steps to compute the standard deviation of values in an R column It returns the standard deviation of the passed vector. The following is the syntax – sd(dataframe]) Pass the column values as an argument to the function. You can use the built-in sd() function in R to compute the standard deviation of values in a dataframe column. How to get the standard deviation of an R dataframe column? In this tutorial, we will look at one such function that helps us get the standard deviation of the values in a column of an R dataframe. The R programming language comes with a number of helpful functions to work with the data stored in data structures like vectors, lists, dataframes, etc.
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