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!
Cross-tabulation in R: Explore diverse methods for analyzing categorical data. Learn basic and advanced techniques using functions like table(), dplyr, and sjPlot. Enhance your data analysis skills now!
Cross-Tabulation in R: Creating & Interpreting Contingency Tables Read More »
Explore how to sum rows in R using dplyr’s powerful functions and enhance your data analysis. Sum across specific rows and based on conditions.
How to Sum Rows in R: Master Summing Specific Rows with dplyr Read More »
In this post, you will learn how to efficiently determine if a file is empty in R using the file.info() and file.size() functions. We will explore practical examples and scenarios, including reading multiple files. Mastering these techniques empowers streamlined file validation for effective data processing and analysis.
How to Check if a File is Empty in R: Practical Examples Read More »
Unlock the potential of Modulo in R with practical applications. Explore data segmentation, odd/even checks, day filtering, and optimized iterations for streamlined coding efficiency.
Modulo in R: Practical Example using the %% Operator Read More »
Learn how to use Python to check if a file is empty. Here we use the os, glob, zipfile, and rarfile modules to check if 1) a file is empty, 2) many files are empty, and 3) files contained in Zip and Rar files are empty.
Python Check if File is Empty: Data Integrity with OS Module Read More »
Learn how to check the R version in RStudio and ensure reproducibility. Discover the best method for compatibility and smooth data analysis. Follow simple steps for quick access to version details.
Check R Version in RStudio: A Quick and Simple Tutorial Read More »
Z test in R is a crucial statistical tool for hypothesis testing. This comprehensive guide covers one-sample and two-sample Z tests, providing practical examples utilizing base R and the BSDA package.
Z Test in R: A Tutorial on One Sample & Two Sample Z Tests Read More »
Discover the Coefficient of Variation in Python using NumPy and Pandas. Uncover data variability insights effortlessly!
Coefficient of Variation in Python with Pandas & NumPy Read More »
three methods to create bins in R
Binning in R: Create Bins of Continuous Variables Read More »
Dive into the fascinating world of data visualization with word cloud in R! Discover how to craft captivating word clouds, unlocking valuable insights from your text data. This comprehensive guide will take you step-by-step, allowing you to create visually stunning representations of word frequencies and explore the power of R’s wordcloud package.
How to Create a Word Cloud in R Read More »
