# Programming

## Programming related posts

In this category you will find posts that are related to programming and should be interesting for psychologists, cognitive scientists, and neuroscientists. Well, almost every researcher would probably find some of the information useful at some time!

Every research psychologist, cognitive scientist, and neuroscientist, should know how to program.. Knowing how to program and write scripts will make many of a researchers everyday tasks much easier. For instance, instead of going through line after line of raw data you can write a Python script that runs through each cell in each column. Furthermore, you get the possibility to use more advanced, and cutting edge, statistical techniques by using R statistical programming environment.

Another example might be to create experiments using PsychoPy (either by coding using Python or using the drag-and-drop interface) and the cheap and open-source Arduino microcontroller. Also, coding is fun and relaxing!

## 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

## Pandas: Cumulative Sum by Group

Here you will learn by examples how to use Pandas to calculate cumulative sum by group.

## 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.

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