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!
Here you will learn how to remove a column in R. More specifically, we will learn how to remove many columns, also (as well as one column). First, we learn how to remove columns by names and indexes. Then we learn how to remove columns that contains certain letters (either start with, end with, or just contain them).
How to Remove a Column in R using dplyr (by name and index) Read More »
In this tutorial, we are going to learn how to open and read a file in Python. Furthermore, we are going to learn how to write to the file, append more data to the file, and then save it again.
How to Read a File in Python, Write to, and Append, to a File Read More »
You will learn how to use Pandas get_dummies() to create dummy variables in Python. Specifically, you will learn how to make dummy variables for variables with two and three levels.
How to use Pandas get_dummies to Create Dummy Variables in Python Read More »
In this post, we will learn how to calculate summary statistics in R. Specifically, we will learn how to calculate the standard deviation, mean (trimmed, harmonic, geometric), variance, IQR, quantiles. etc. We will learn how to save the summary statistics as latex (so we can output it to a nice table in a PDF, for instance), and how to save it as a csv file.
How to Calculate Descriptive Statistics in R the Easy Way with dplyr Read More »
Here you will learn how to use pipx to install Python packages in isolated virtual environments. Moreover, you will learn how to uninstall and upgrade packages using pipx.
Pipx: Installing, Uninstalling, & Upgrading Python Packages in Virtual Envs Read More »
Here, we will learn how to change the size of Seaborn plots. More specifically, we will learn how to change the size of scatter plots, violin plots, and FacetGrid (scatterplots). Finally, we will learn how to save these as image files.
How to Change the Size of Seaborn Plots Read More »
In this post, you will learn how to read and write SPSS files. More specifically, you will learn how to use Haven and Foreign to read SPSS files. Finally, you will also learn how to load CSV & Excel files and save them as SPSS files.
How to Read & Write SPSS Files (.sav) in R Statistical Environment Read More »
Here we will learn how to; 1) install Python packages using pip, conda, and Anaconda Navigator, 2) how to load these Python packages into our scripts, and 3) how to upgrade Python packages when we need to,.
Learn all About Installing & Updating Packages in Python Read More »
Here you will learn how to load .dta files in Python. That is, you will learn how to read Stata files in Python using Pyreadstat and Pandas.
Tutorial: How to Read Stata Files in Python with Pandas Read More »
In this post, we introduce a generalization of the concept of subroutines, known as coroutines: just like subroutines, coroutines compute a single computational step, but unlike subroutines, there is no main program to coordinate the results. The coroutines link themselves together to form a pipeline without any supervising function responsible for calling them in a particular order.
How to Handle Coroutines with asyncio in Python Read More »