I imagine that the same result can be achieved by a proper use of quantile, but I like to have an easy way to obtain summary statistics every n entries...continue reading.
Category: R News
When building visualizations with ggplot2 in R I decided to create specialized functions that encapsulate plotting logic for some of my creations. In this case instead of commonly used aes function...continue reading.
Below is a schematic diagram of statistical models for fractional outcomes based on my studies done in early 2012. For details, please refer to my blog series in “Modeling Rates...continue reading.
On 06/23, I posted two SAS macros implementation GRNN (https://statcompute.wordpress.com/2013/06/23/prototyping-a-general-regression-neural-network-with-sas). However, in order to use these macros in the production environment, we still need a scheme to automatically choose the...continue reading.
Last time when I read the paper “A General Regression Neural Network” by Donald Specht, it was exactly 10 years ago when I was in the graduate school. After reading...continue reading.
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.
When processing large data sets in R you often also end up creating large temporary objects. In order to keep the memory footprint small, it is always good to remove...continue reading.
In this post I will show some different examples of how to work with map projections and how to plot the maps using ggplot. Many maps that are shown using...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.