How-to's and tutorials

Tutorials

Embarrassingly (and potentially dangerously) amateuristic, but possibly useful.

• My introduction to statistics via simulation programming; also presents an argument for a valid role of NHST in experimental research.
• Using a simulated toy language to explore semantic vectors with word2vec (in Python).
• Programming online tasks in barebones JavaScript.
• Programming Tasks for Psychological Experiments using Presentation.
• Data Wrangling in Social Science and Psychophysiology using Matlab.
• Sending triggers and event markers via USB, how to get TTL pulses and other marker-bits out of a USB port.
• Homebrew Heart Rate Sensor Measurement via Arduino.
• Maths foundations, a suggested ordered list of sources for quasi-quantitative researchers to get a more comprehensive grasp of maths for statistics etc.

Note: there's another "book" floating around that's actually just an expensive version of my thesis, which is freely available here as a PDF.

Brief how-to's and worse tutorials

• SPSS Macro's, syntax for running a regression as a Macro over a vector of dependent variables.
• A wavelet analysis tutorial that even a psychologist (like me) could understand (PDF), from trying to figure this out as a student.
• Me, Myself, and MRI (PDF), more "pathetic first attempts at understanding something technical by a psychologist."
• Overlaying images in Matlab.
• Interactive plotting in Matlab.
• Batch-process SPM analyses.
• Principal Components Analysis (PCA).
• Use MySQL to get information from the UCSC genome database.
• Stopping matplotlib plots crashing in PyCharm. The solution that worked for me was to add the lines: import matplotlib; matplotlib.use('TkAgg'); matplotlib.pyplot.ion().