Author name: Erik Marsja

PhD in Psychology, Linköping University. Main interest is experimental and cognitive psychology. Enjoy programming in Python and R.

Repeated measures ANOVA using Python

Repeated measures ANOVA in Python is useful when you want to analyze data from within-subjects or repeated-measures designs. Although several Python packages now support this analysis, it was not always straightforward to perform using only Python. At the time this tutorial was written, statsmodels did not include repeated measures ANOVA, and one common solution was

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descriptive statistics in python

Descriptive Statistics in Python using Pandas

Descriptive statistics in Python are easy to calculate with Pandas. Whether you want a quick overview of your data or need summary statistics before fitting a statistical model, Pandas includes built-in functions for the most common descriptive measures. In this tutorial, you’ll learn how to calculate descriptive statistics for a Pandas DataFrame and interpret the

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Why Spyder is the Best Python IDE for Science

Spyder is the best Python IDE I have used for data analysis, scientific computing, and general Python development. I’ve been using it for years, and despite trying alternatives such as PyCharm, VS Code, and Rodeo, I keep coming back to Spyder. In this post, I’ll explain why it’s my preferred Python IDE, walk through the features I

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Spyder IDE a RStudio for Python?

RStudio-like Python IDEs – Rodeo and Spyder

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

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