Category: dplyr

How to Select Rows of a dataframe by position

In this post, we will see how to subset a dataframe or select rows based on their position. We will first use dplyr’s slice() function to slice a dataframe by location and then show how to select rows by position using base R Let us load tidyverse suite of R packages including dplyr. We will… Continue reading How to Select Rows of a dataframe by position

How to replace NA in a column with specific value

In this tutorial we will learn how to replace missing values/NA in a column with a specific value. We will replace NA in a column using two approaches. At first we will use dplyr function mutate and ifelse to identify the element(s) with NA and replace with a specific value. Next we will use base… Continue reading How to replace NA in a column with specific value

How to add row number within each group in dplyr

In this tutorial, we will learn how to add row numbers with in each group of a dataframe in R. We will use combination of group_by() and row_number() functions from dplyr to add row number by group. To get started let us load tidyverse and palmer penguin datasets. Here we use dplyr version 1.0.8. For… Continue reading How to add row number within each group in dplyr

How to select one or more columns from a dataframe

In this tutorial we will learn how to select one or more columns/variables from a data frame in R. We first learn how to select the columns of interest with dplyr’s select() function by using their name and then we will learn how to select columns using base R approach. Let us get started by… Continue reading How to select one or more columns from a dataframe

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