# R

R statistical programming related stuff

## How to Make a Volcano Plot in R using ggplot2

In this volcano plot in R tutorial, we will use ggplot2, a popular 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 In this data visualization tutorial, we will start […]

## Random Intercept Model in R: Interpretation and Visualization

A random intercept model in R is a useful tool for analyzing data from experiments that involve repeated measurements of the same participants or items. It allows you to control for the variability in the outcome variable due to random effects, such as individual differences or item difficulty, while estimating the fixed effects of your

## The Unique Function in R: How to Use it in 4 Ways

In this post, we will look at how to use the unique function in R, which is a powerful and versatile tool for identifying and removing duplicate values in different types of data structures. We will first have a look at what the unique() function is and how it works. Next, we will demonstrate its

## Mann Whitney U Test in R: A Comprehensive Guide

Mann whitney u test in R with ggstatsplot

## R: Remove Rows with Certain Values using dplyr

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

## Remove Specific Row in R: How to & Examples with dplyr

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.

## Variance in R: How to Find & Calculate

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.

## Change R Version in RStudio: A Quick How-To

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.

## Turn Off Scientific Notation in R

Master techniques to disable scientific notation in R. This blogpost guides you through practical methods, empowering precise and readable data analysis. Say goodbye to default settings and take control.

## Convert All Character Columns to Factor in R: A Guide

In data analysis using R, converting character columns to factor is common. Character columns often contain categorical data, and converting them to factors enables R to interpret and analyze the data more effectively. Factors represent categorical variables with distinct levels, aiding in statistical modeling (e.g., ANOVA, MANOVA) and visualization. Data type conversion is a fundamental

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