Data frames in R - Transforming data PART II

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How to arrange, summarize, group, and sample data in R using the dplyr package.

To arrange your data frame, use the arrange() function from the dplyr package. Nest the desc command to specify that you want your data frame arranged in descending order.

Let’s talk about grouping a data frame and then summarizing it. What does that mean? It means we will take our data, split it in groups, and then, get collapse all the variables for these groups into one row of whatever type of information we want.

By itself, the summarize() function summarizes a data frame in a single result.

Group_by() is fairly intuitive. It splits the data frame into individual groups. Then, whatever functions we call to the grouped data frame, they will be executed per group.

The group_by() – summarize() combination is one of the most widely used operations in the preliminary stages of data analysis.

Sample_n extracts a random sample of a fixed number of rows from your data frame, whereas sample_frac extracts a fixed fraction.

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