Analytic Resources

Subsetting

There are times when you will want to select specific rows (i.e., cases), specific columns (i.e., variables), or maybe both. This is often called subsetting your data frame.

There are, of course, a number of ways to accomplish this in R. The following will show you how to subset your data using base R and the dyplr package.

Keep or Drop Variables

Subsetting Columns- Base R and dplyr package

Drop column in R using Dplyr - drop variables - DataScience Made SimpleDrop column in R using Dplyr: Drop column in R can be done by using minus before the select function. Dplyr package in R is provided with

15.4 Deleting a Column from a Data Frame | R Graphics Cookbook, 2nd editionThis cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

R Programming 101: Manipulate data using the tidyverse (6:55)

Select Data Frame Columns in R - DatanoviaYou will learn how to select data frame columns by names and position. We’ll also show how to remove columns from a data frame.

Keep or Drop Cases

Subsetting Rows- Base R and dplyr package

Delete or Drop rows in R with conditions - DataScience Made SimpleDelete or Drop rows in R with conditions done using subset () function. Drop rows with missing and null values using omit(), complete.cases() and slice()

15.7 Getting a Subset of a Data Frame | R Graphics Cookbook, 2nd editionThis cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

R Programming 101: 10 data filtering tips using R programming (7:46)

Subset Data Frame Rows in R - DatanoviaThis tutorial describes how to subset or extract data frame rows based on certain criteria. Additionally, we'll describe how to subset a random number or fraction of rows. You will also learn how to remove rows with missing values in a given column.

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