A common way of illustrating the idea behind statistical power in null hypothesis significance testing, is by plotting the sampling distributions of the null hypothesis (\( H_0 $) and the...continue reading.
In this post I show some R-examples on how to perform power analyses for mixed-design ANOVAs. The first example is analytical — adapted from formulas used in G*Power (Faul et...continue reading.
The feed-forward neural network is a very powerful classification model in the machine learning content. Since the goodness-of-fit of a neural network is majorly dominated by the model complexity, it...continue reading.
In the example below, 552 rows are extracted from a data frame with 10 million rows using six different methods. Results show a significant disparity between the least and the...continue reading.
data.table (http://datatable.r-forge.r-project.org/) inherits from data.frame and provides functionality in fast subset, fast grouping, and fast joins. In previous posts, it is shown that the shortest CPU time to aggregate a...continue reading.
After posting “Removing Records by Duplicate Values” yesterday, I had an interesting communication thread with my friend Jeffrey Allard tonight regarding how to code this in R, a combination of...continue reading.
In the practice of risk modeling, it is sometimes mandatory to maintain a monotonic relationship between the response and each predictor. Below is a demonstration showing how to develop a...continue reading.