Unfortunately, due to the vexing complexities of academic style guides and the limitations of associated software packages, citing a non-standard name, such as Cher, Prince, or R Development Core Team can be problematic. Thankfully, I have discovered a...
Tools are major enablers of Linked Science. One crucial aspect is how to access and analyze data, and especially how to get only that part of data which is of interest for a given research question. Linked Data solves the … Continue reading →
The followings introductory post is intended for new users of R. It deals with R data frames: what they are, and how to create, view, and update them. This is a guest article by Dr. Robert I. Kabacoff, the founder of (one of) the first online R tutorials websites: Quick-R. Kabacoff has recently published...
Introduction Romain Francois presented an Rcpp solution on his blog to an old r-wiki optimisation challenge which I had also presented R solutions for previously on my blog. The Rcpp package provides a method for integrating R and C++. This allows for faster execution of an R project by recoding the slower R parts into C+ and thus providing potential performance...
Artificial neural networks are commonly thought to be used just for classification because of the relationship to logistic regression: neural networks typically use a logistic activation function and output values from 0 to 1 like logistic regression. ...
Here’s something I came across by accident, an R package called fgui which has the ability to automatically create a widget just by passing it a function with parameters, e.g.: The GUI produced from the code above looks like this: I love how easy that was to do, very cool, and useful too! The...
Couple of R programming (mainly infrastructure/workflow) related topics discussed at the Los Angeles R users group in a tutorial/demo-like form (targeted mainly to beginners) by Szilard Pafka and Jeroen Ooms: how easy it is to create a simple package for … Continue reading →
Exploratory factor analysis (EFA) is a common technique in the social sciences for explaining the variance between several measured variables as a smaller set of latent variables. EFA is often used to consolidate survey data by revealing the groupings ...
This code shows how to easily plot a beautiful confidence interval diagram in R. First, create a data frame (R’s representation of a table) with three columns. There are two rows for two confidence intervals, but you can have as many rows as you ...
Let’s walk through using R and Student’s t-test to compare paired sample data. The book Statistics: The Exploration & Analysis of Data (6th edition, p505) presents the longitudinal study “Bone mass is recovered from lactation to p...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).