I recently wrote a post on the RStudio like Python IDE Rodeo (RStudio-like Python IDEs – Rodeo and Spyder). In that post, I installed and tested Rodeo 0.44. However, Rodeo 1.0 was released in October. Rodeo 1.0 cannot be installed using Pip. Therefore, I wrote a bash script for downloading and unzipping Rodeo. Note, the […]
Installing Rodeo IDE on Linux Read More »
In this post I will discuss two Python Integrated Development Environments (IDE); Rodeo and Spyder. Both Python IDEs might be useful for researchers used to work with R and RStudio (a very good and popular IDE for R) because they offer similar functionalities and graphical interfaces as RStudio. That is, Rodeo and Spyder can both
RStudio-like Python IDEs – Rodeo and Spyder Read More »
Recently, we bought 10 coin like vibrating motors from Precision Microdrives. In the following video you will one of them in use. It is connected to an Arduino Uno micro controller. Update: Now we have built some wrist bands/straps using the vibrating motors, velcro, silver tape, arduino, batteries and more. Hopefully, we will have a
Arduino plus a vibrating coin motor Read More »
I recently asked which programming language I should learn next year (i.e., 2016). In this post I will evaluate the alternatives that I have by asking the question in different places around the internet. The post will end with the choice I made and how to install the language To summarize my earlier post, I
What programming language should I learn – 2 Read More »
In this tutorial, you will learn how to use the PsychoPy function TrialHandler to create trials and correct responses to your targets in these trials. PsychoPy is an application for creating experiments for Psychology experiments. The application is written in Python, an easy programming language to learn. You can learn more about PsychoPy in my
TrialHandler – a PsychoPy tutorial Read More »
This tutorial covers the integration between R and Python using the rpy2 package. Discover how to bridge the gap between these two languages, enabling you to harness both strengths for enhanced data analysis and visualization. This rpy2 tutorial guides you through its installation, configuration, and practical usage. Outline In this tutorial, we will learn how
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R is a free and open-source statistical programming environment. Being open-source and free it has a large and helpful online community (for instance, see StackOverflow). When I went from carrying out analysis in SPSS to do them in R, I searched for good books targeted to Psychologists. In this post, you will find four great
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Do you also find it time-consuming to make your manuscripts follow American Psychological Associations (APA) guidelines? Have you searched the internet for a good .docx/.doc APA template? After reading this post, you might not have to search anymore. Papaja is an r-package that makes your manuscript conform to APA guidelines! In this post, I will
Papaja – APA manuscripts made easy Read More »
In this post you will find some really good Python Blogs and Resources. Most of these really helped me when moving from proprietary software to free and Open Source software (e.g., PsychoPy written in Python). The links are divided into two categories: general and research. In the ‘general’ category you will find good Python resources
Some good Python Blogs and Resources Read More »
In this post, I will describe the existing free Python applications and libraries for creating experiments. So far, I have only used PsychoPy, but I plan to test most of them. At least the ones that seem to be still maintained. All applications and libraries are open-source, which makes it possible to download the source
Python apps and libraries for creating experiments Read More »