R News from another blog for R community
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.
Sometimes a minor change to your R code can make a big difference in processing time. Here is an example showing that if you’re don’t care about the names attribute...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.