Computes Weight of Evidence and Information Values (woe)
Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.
Extending Functional Programming in R (functools)
Extending functional programming in R by providing support to the usual higher order functional suspects (Map, Reduce, Filter, etc.).
Procedures for Psychological, Psychometric, and Personality Research (psych)
A general purpose toolbox for personality, psychometrics and experimental psychology. Functions are primarily for scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multi-levels include within and between group statistics, including correlations and factor analysis. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the webpage.
D3 Javascript Scatterplot from R (scatterD3)
Creates ‘D3’ ‘JavaScript’ scatterplots from ‘R’ with interactive features : panning, zooming, tooltips, etc.
data.table query (dtq)
Auditing data transformation can be simply described as gathering metadata about the transformation process. The most basics metadata would be a timestamp, atomic transformation description, data volume on input, data volume on output, time elapsed. If you work with R only interactively you may find it more like a fancy tool. On the other hand for automated scheduled R jobs it may be quite helpful to have traceability on the lower grain of processing than just binary success or fail after the script is executed, for example a logging each query against the data. Similar features are already available in ETL tools for decades. I’ve addressed this in my dtq package.