Articles and posts
Reshape R dataframes from wide to long with melt
Learn and visualize how melt reshapes dataframes from long to wide
Reshape Python pandas dataframe from long to wide with pivot_table
Learn and visualize how pd.pivot_table reshapes data from long to wide form
Reshape Python pandas dataframe from wide to long with pd.melt
Learn and visualize how pd.melt reshapes data from wide to long form
Causal inference and Lord's Paradox: Change score or covariate?
Use directed acyclic graphs and structural equation modeling to understand Lord's paradox.
Reshape and stack multi-dimensional arrays in Python numpy
The only tutorial and cheatsheet you'll need to understand how Python numpy reshapes and stacks multidimensional arrays
Neural networks: Deriving the sigmoid derivative via chain and quotient rules
Deriving the derivative of the sigmoid function for neural networks
Resources for making R packages
Resources for making R packages
Use median absolute deviation instead of z-score to detect outliers
Why is it bad to use z-scores to detect outliers and why you should use median absolute deviation instead
Resources for principal components analysis and dimension reduction
Resources for learning principal components analysis and dimension reduction
Good online classes (MOOCs) for data science
A list of online classes I've completed or am planning to take
What happens when you set the intercept to 0 in regression models
What happens when you force the intercept to be 0 in a regression model and why you should (generally) never do it
Interpreting regression coefficients (including interaction coefficients)
A short tutorial on how to interpreting regression coefficients, including interaction coefficients.
Gentle intro to logistic regression
A gentle, step-by-step intro to logistic regression, inverse logit and logit functions, and maximum likelihood estimation in the context of logistic regression
Resources for data.table
Resources for the amazing R data.table package
Bayesian inference and MCMC sampling introduction
A gentle and intuitive introduction to Markov Chain Monte Carlo sampling with rejection sampling.
Dockerize a ShinyApp and host it on your own server with DigitalOcean
Step-by-step instructions describing how I deployed my ShinyApp with Docker and hosted it on a web server with DigitalOcean (using Mac OS X).
Why bar (dynamite) plots are terrible (use ggbeeswarm instead)
Why are barplots or dynamite plots so bad? Comparing four different types of plots: barplot, boxplot, violinplot, and geom_quasirandom plot
Complete vs. partial vs. no-pooling: Fit the same model to different groups (just one simple line of code)
What is complete pooling, no-pooling, and partial pooling, and how to use data.table for no-pooling models (fit the same model, but separately to each group)