R statistical programming related stuff
This blog post will teach us how to use probit regression in R, a statistical modeling technique for analyzing binary response variables. Probit regression can be useful when the outcome variable is dichotomous. That is when the outcome variable takes only two possible values, such as “success” or “failure,” “yes” or “no,” or “tinnitus” or […]
Probit Regression in R: Interpretation & Examples Read More »
Sankey plots are an essential tool for data visualization in science and business. Whether you are exploring complex data flows, identifying patterns, or communicating insights, Sankey diagrams make it easy to visualize connections and gain meaningful insights. Discover four methods to create stunning Sankey plots in R and elevate your data analysis game!
How to Create a Sankey Plot in R: 4 Methods Read More »
Are you struggling with standardizing your data or detecting outliers in R? If so, z-scores might be just what you need! In this blog post, we will explore how to calculate z-score in R using different data structures, such as vectors, matrices, and data frames. We will also cover the z-score formula, its uses, and
How to Calculate Z Score in R Read More »
This tutorial covers the critical topic of standardizing data in R. Standardizing data involves transforming data such that the mean of the data becomes zero and the standard deviation becomes one. This technique is widely used in data analysis and modeling, including psychology, biology, and finance.
Through this post, you will learn about the circumstances when and why we may want or need to standardize data in R. We will also discuss what it means to standardize variables and which R functions are best suited for standardization. Additionally, the tutorial provides a step-by-step guide on how to standardize data in R. Starting with standardizing a vector, we move on to standardizing a matrix, standardizing data in a dataframe, and finally, standardizing only numeric columns in a dataframe.
Whether you are a seasoned data analyst, a research professional, or a student, this tutorial will equip you with essential skills to standardize data in R. These skills will enable you to understand better and analyze your data, paving the way for better insights and informed decision-making.
How to Standardize Data in R with scale() & dplyr Read More »
This post will teach you how to make a residual plot in R. Moreover, you will learn when to use different residual plots and how to interpret them. Residual plots are a graphical tool that can evaluate the quality of a regression model. They are handy for identifying issues with the model assumptions, such as
How to Make a Residual Plot in R & Interpret Them using ggplot2 Read More »
This post will teach you how to carry out the Kruskal-Wallis test in R. The Kruskal-Wallis test is a non-parametric statistical test used to determine whether there is a significant difference in the median values of two or more independent groups. This method is used when the analyzed data is not normally distributed, or the
How to do a Kruskal-Wallis Test in R Read More »
In this tutorial, you will 1) learn how to delete a row in R and 2) how to remove multiple rows in R. Of course, R being a universal programming language, there are many different options when we need to delete a row. For example, we can use the subset() function to drop a row
How to Remove/Delete a Row in R – Rows with NA, Conditions, Duplicated Read More »
In this short tutorial, you will learn how to create a matrix in R. We will use the matrix() function, among two other functions, for this aim. Specifically, we will go into the details of this function as this will enable us to e.g. name the columns and rows in the matrix we create. That
How to Create a Matrix in R with Examples – empty, zeros Read More »
Here are 4 examples in which you will learn how to convert a list to a dataframe in R.
How to Convert a List to a Dataframe in R – dplyr 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 »
