In this post, we will learn how to transform data from wide to long in R. Wide-to-long format conversion is often an important data manipulation technique in data analysis. In R, we can use many packages and their functions to transform data from a wide to long format. These functions include the tidyr package’s pivot_longer() […]
Wide to Long in R using the pivot_longer & melt functions Read More »
In this blog post, we will learn how to sum across columns in R. Summing over columns can be a useful data analysis technique in various fields, including data science, psychology, and hearing science. Here, we will explore several examples of how to sum across columns in R, including summing across a matrix, multiple columns
Sum Across Columns in R – dplyr & base Read More »
This data visualization tutorial will teach us how to make a violin plot in R using ggplot2. We can use several techniques to visualize data (see, for example, the Python-related post “9 Data Visualization Techniques You Should Learn in Python“) to visualize our data in r. Briefly described, violin plots combine a box plot and
How to Create a Violin plot in R with ggplot2 and Customize it Read More »
In this short tutorial, you will learn how to convert a matrix to a dataframe in R. Specifically, you will learn how to use base R and the package tibble to change the matrix to a dataframe. You will learn this task using four examples (2 using each method). Outline This post is structured as
How to Convert Matrix to dataframe in R with base functions & tibble Read More »
In this R tutorial, you will learn how to count the number of occurrences in a column. Sometimes, before starting to analyze your data, it may be useful to know how many times a given value occurs in your variables. For example, when you have a limited set of possible values that you want to
R Count the Number of Occurrences in a Column using dplyr Read More »
In this guide, you will learn how to concatenate two columns in R. You will learn how to merge multiple columns in R using base R (e.g., using the paste function) and Tidyverse (e.g., using str_c() and unite()). In the final section of this post, you will learn which function is the best to use
How to Concatenate Two Columns (or More) in R – stringr, tidyr Read More »
In this post, you will learn how to select columns in R. Selecting specific columns is crucial when working with data in Psychology and data science. Whether you are analyzing survey data to examine relationships between variables or performing data-wrangling tasks, knowing how to extract relevant columns may be essential for your analysis. Imagine you
Select Columns in R by Name, Index, Letters, & Certain Words with dplyr Read More »
In this R tutorial, you will learn how to remove duplicate rows and columns from a data frame. We will use the duplicated() and unique() functions from base R. Furthermore, we will use the distinct() function from the dplyr package.
How to Remove Duplicates in R – Rows and Columns (dplyr) Read More »
In this R tutorial, you will learn how to add a column to a dataframe based on other columns.
R: Add a Column to Dataframe Based on Other Columns with dplyr Read More »
In this post you will learn how to extract day from datetime in #RStats.
How to Extract Day from Datetime in R with Examples Read More »
