by Erik Marsja | Apr 27, 2020 | Programming, Python

In this post, we will go through how to calculate a correlation matrix in Python with NumPy and Pandas. Now, there will be a number of Python correlation matrix examples in this tutorial. First, we will read data from a CSV fil so we can, in a simple way, have a look... by Erik Marsja | Dec 29, 2019 | Programming, Python

In this post, we will learn how to use Pandas get_dummies() method to create dummy variables in Python. Dummy variables (or binary/indicator variables) are often used in statistical analyses as well as in more simple descriptive statistics. Towards the end of the... by Erik Marsja | Aug 26, 2019 | Programming, Python

In previous posts, we learned how to use Python to detect group differences on a single dependent variable. However, there may be situations in which we are interested in several dependent variables. In these situations, the simple ANOVA model is inadequate. One way... by Erik Marsja | Aug 12, 2019 | Programming, Python, R

In this post, we will learn how to carry out repeated measures Analysis of Variance (ANOVA) in R and Python. To be specific, we will use the R package afex and the Python package pingouin to carry out one-way and two-way ANOVA for within-subjectâ€™s design. The... by Guest | Jan 14, 2019 | Programming, Python

Learn about probabilistic programming in this guest post by Osvaldo Martin, a researcher at The National Scientific and Technical Research Council of Argentina (CONICET) and author of Bayesian Analysis with Python: Introduction to statistical modeling and...