ggplot2: Elegant Graphics for Data Analysis

Abstracts not available for BookReview

Introductory Statistics with R (Second Edition)

Abstracts not available for BookReview

Interactive and Dynamic Graphics for Data Analysis: With R and GGobi

Abstracts not available for BookReview

The Health of Lisp-Stat

Lisp-Stat seems to be quite inert nowadays. However, there is no widespread agreement about what actually killed it, or even whether it has really passed away or not. Here we present the papers included in this special issue of the Journal of Statistical Software about it. Some of the included papers are about what Lisp-Stat was able to do in the past, other give testimony of the current state of health of Lisp-Stat, and other analyze whether there is any chance of its eventual recovery. We believe that the diagnosis performed here will appeal not only to people interested in Lisp-Stat but to all those involved in the development of statistical languages, as it provides hints as to what elements could make them succeed or fail

Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis

Parallel Analysis is a Monte Carlo simulation technique that aids researchers in determining the number of factors to retain in Principal Component and Exploratory Factor Analysis. This method provides a superior alternative to other techniques that are commonly used for the same purpose, such as the Scree test or the Kaiser’s eigenvalue-greater-than-one rule. Nevertheless, Parallel Analysis is not well known among researchers, in part because it is not included as an analysis option in the most popular statistical packages. This paper describes and illustrates how to apply Parallel Analysis with an easy-to-use computer program called ViSta-PARAN. ViSta-PARAN is a user-friendly application that can compute and interpret Parallel Analysis. Its user interface is fully graphic and includes a dialog box to specify parameters, and specialized graphics to visualize the analysis output. Accessed 35,722 times on https://pareonline.net from February 01, 2007 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

Computing and Visualizing Log-linear analysis interactively

The purpose of this paper is to describe a simple program for computing log-linear analysis based on a direct manipulation interface that emphasizes the use of plots for guiding the analysis and evaluating the results obtained. The program described here works as a plugin for ViSta (Young 1997) and receives the name of LoginViSta (for Log-linear analysis in ViSTa). ViSta is a statistical package based on Lisp-Stat. Lisp-Stat is a statistical programming environment developed by Luke Tierney (1990) that features an object-oriented approach for statistical computing and one that allows for The purpose of this paper is to describe a simple program for computing log-linear analysis based on a direct manipulation interface that emphasizes the use of plots for guiding the analysis and evaluating the results obtained. The program described here works as a plugin for ViSta (Young 1997) and receives the name of LoginViSta (for Log-linear analysis in ViSTa). ViSta is a statistical package based on Lisp-Stat. Lisp-Stat is a statistical programming environment developed by Luke Tierney (1990) that features an object-oriented approach for statistical computing and one that allows for Computing and Visualizing Pedro Valero-Mora and Forrest W. Young interactive and dynamic graphs

A Video Tour through ViSta 6.4

This paper offers a visual tour throughout ViSta 6.4, a freeware statistical program based on Lisp-Stat and focused on techniques for statistical visualization (Young 2004). This travel around ViSta is based on screen recordings that illustrate the main features of the program in action. The following aspects of ViSta 6.4 are displayed: the program's interface (ViSta's desktop, menubar and pop-up menus, help system); its data management capabilities (data input and editing, data transformations); features associated to data analysis (data description, statistical modeling); and the options for Lisp-Stat development in ViSta. The video recordings associated to this tour (.wmv files) can be visualized at http://www.jstatsoft.org/v13/i08/ using the Internet Explorer navigator, or by clicking on the figures in the paper.