R statistical programming related stuff
Learn how to select columns in data.table using names, character vectors, and indices. This guide covers selecting single and multiple columns, using .SDcols, and indexing. With practical examples, you’ll see how data.table offers a fast and flexible way to manipulate large datasets in R.
How to Select Columns from data.table in R Read More »
This blog post focuses on the practical aspects of conducting mediation analysis in R. First, we will look at how to do it using the mediation package. Then, we will walk through an example of using the Lavaan package to perform mediation analysis. Both mediation examples will include R code chunks with explanations. This blog
Mediation Analysis in R: How to Run it with two Packages Read More »
In this volcano plot in R tutorial, we will use ggplot2, a package for creating beautiful and customizable graphics in R. A volcano plot in R is a scatter plot showing the relationship between the fold change and the statistical significance in certain data types. Outline This data visualization tutorial will start by learning the
How to Make a Volcano Plot in R using ggplot2 Read More »
In this post, you will learn how to set up a random intercept model in R. This model is useful for analyzing data from experiments that involve repeated measurements of the same participants or items. It lets you control for variability in the outcome variable due to random effects, such as individual differences or item
Random Intercept Model in R: Interpretation and Visualization Read More »
In this post, we will explore how to utilize the unique function in R, a valuable tool for identifying and removing duplicate values across various data structures. We will start by examining the unique() function to learn how it works. Next, we will examine examples of how to apply it to vectors, matrices, and data frames,
The Unique Function in R: How to Use it in 4 Ways Read More »
Mann whitney u test in R with ggstatsplot
Mann Whitney U Test in R: A Comprehensive Guide Read More »
Sometimes, when we use data frames in R, we need to remove rows with specific values. For example, we might want to exclude rows that have missing values, outliers, or errors. Or we might want to subset our data based on some criteria, such as a range of values, a category, or a pattern. In
R: Remove Rows with Certain Values using dplyr Read More »
Discover effective methods for removing specific rows in R using both base functions and dplyr. Improve your data manipulation skills and streamline your analysis process. Explore examples and enhance your coding proficiency.
Remove Specific Row in R: How to & Examples with dplyr Read More »
Learn all you need about variance calculation in R with base R and dplyr. From single-column insights to multi-variable analyses, this tutorial equips you for robust data exploration. Discover efficiency with dplyr’s simplicity or opt for the reliability of base R. Your journey to mastering variance starts here.
Variance in R: How to Find & Calculate Read More »
Discover the four simple steps to change R version in RStudio effortlessly. Navigate to Tools, click on Global Options, choose the specific R version needed, and restart RStudio. Check your R version with ease.
Change R Version in RStudio: A Quick How-To Read More »