Category Archives: Tutorials

Verify if data are normally distributed in R: part 2

In our previous post, we learned how to inspect whether or data were normally distributed or not using plots. It is always important to visualise our data. However, inspecting such plots is open for interpretation and, possibly, abuse. We will now learn how to analyse our data and generate numerical values that describe how our data are distributed. Quantifying the

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Verify if data are normally distributed in R: part 1

Many statistical tests assume that the sampling distribution is normally distributed. This does not mean that the data we collected for our experiment is normally distributed, but rather that the distribution of mean values from many samples of the same size will be normally distributed. Unfortunately, we do no have access to the sampling distribution. However, based on the central

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Manipulating data with Pandas – Part 1

Pandas (i.e. panel data) is a Python library designed to manipulate data in tables and time series. Pandas uses many Numpy library functions to manipulate data stored in dataframes, analogous to a spreadsheet or table. Let’s look at some basic Pandas functions to manipulate data, and plot the data using the Seaborn plotting package. To begin, import libraries and simulate

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