by Erik Marsja | Apr 1, 2023 | Programming, R

In this blog post, we will learn how to sum across columns in R. Summing can be a useful data analysis technique in various fields, including data science, psychology, and hearing science. We will explore several examples of how to sum across columns in R, including...
by Erik Marsja | Mar 23, 2023 | Programming, R

In this blog post, you will learn how to plot the prediction interval in R. If you work with data or are interested in statistical analysis, you know that making predictions is an essential part of the process. Moreover, if you are new to prediction intervals or want...
by Erik Marsja | Mar 14, 2023 | Programming, R

In this blog post, we will learn how to use probit regression in R, a statistical modeling technique for analyzing binary response variables. Probit regression is particularly useful when the outcome variable is dichotomous. That is when the outcome variable takes...
by Erik Marsja | Mar 11, 2023 | Programming, R

In this post, we will walk you through creating a Sankey plot in R using four packages. We will use the packages ggsankey, ggalluvial, networkD3, and plotly. Sankey plots are powerful visualizations that can help you understand data flow or resources between different...
by Erik Marsja | Mar 5, 2023 | Programming, R

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...
by Erik Marsja | Feb 26, 2023 | Programming, R

In this tutorial, you will learn 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 help in standardization. Moreover, the tutorial will then provide a step-by-step guide on...