90 research outputs found

    ggplot2: Elegant Graphics for Data Analysis

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    Introductory Statistics with R (Second Edition)

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

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    Computing and Visualizing Log-linear analysis interactively

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    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

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    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.

    A Plot for the Visualization of Missing Value Patterns in Multivariate Data.

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    Missing data patterns are the combinations in which the variables with missing values occur. Exploring these patterns in multivariate data can be very useful but there are few specialized tools. The current paper presents a plot that includes relevant information for visualizing these patterns. The plot is also dynamic-interactive; so, selecting elements in it permits the highlighting of those that are more relevant according to certain criteria. An example, based on college data, is used for the purposes of illustrating the capabilities of the plo

    Development of a Roadmap for the Implementation of a Sustainable Mobility Action Plan in University Campuses of Emerging Countries

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    Universities are centers of knowledge and their Campuses are like small cities, thus making them the ideal place to develop, apply and evaluate policies and tools for innovative mobility solutions that can subsequently be extended to other contexts. A review of mobility measures in different European Universities has revealed that many of them apply policies to promote sustainable mobility, but there is a significant lack of standardized mobility plans and roadmaps for their successful implementation. The objective of the present work is to develop a successful roadmap, which is necessary for the smooth implementation of a mobility plan, as it has been found through a thorough review of good practices in Universities. Within this framework, a customizable standardized Roadmap design is proposed, which consists of two documents: a tactical document that provides a global and sequential vision of the entire plan, and an operational document that details the actions for each strategic line. This roadmap is accompanied by a catalog of objectives, measures, and cost and impact indicators. We consider this design instructive for universities because of its universal characteristics in Emerging Countries. To ensure this, it is necessary to apply this roadmap and carry out the corresponding evaluation

    Under-reporting bicycle accidents to police in the COST TU1101 international survey: Cross-country comparisons and associated factors

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    Police crash reports are often the main source for official data in many countries. However, with the exception of fatal crashes, crashes are often underreported in a biased manner. Consequently, the countermeasures adopted according to them may be inefficient. In the case of bicycle crashes, this bias is most acute and it probably varies across countries, with some of them being more prone to reporting accidents to police than others. Assessing if this bias occurs and the size of it can be of great importance for evaluating the risks associated with bicycling. This study utilized data collected in the COST TU1101 action “Towards safer bicycling through optimization of bicycle helmets and usage”. The data came from an online survey that included questions related to bicyclists' attitudes, behaviour, cycling habits, accidents, and patterns of use of helmets. The survey was filled by 8655 bicyclists from 30 different countries. After applying various exclusion factors, 7015 questionnaires filled by adult cyclists from 17 countries, each with at least 100 valid responses, remained in our sample. The results showed that across all countries, an average of only 10% of all crashes were reported to the police, with a wide range among countries: from a minimum of 0.0% (Israel) and 2.6% (Croatia) to a maximum of a 35.0% (Germany). Some factors associated with the reporting levels were type of crash, type of vehicle involved, and injury severity. No relation was found between the likelihood of reporting and the cyclist's gender, age, educational level, marital status, being a parent, use of helmet, and type of bicycle. The significant under-reporting – including injury crashes that do not lead to hospitalization – justifies the use of self-report survey data for assessment of bicycling crash patterns as they relate to (1) crash risk issues such as location, infrastructure, cyclists' characteristics, and use of helmet and (2) strategic approaches to bicycle crash prevention and injury reduction.Fil: Shinar, D.. Ben Gurion University of the Negev; IsraelFil: Valero Mora, Pedro. Universidad de Valencia; EspañaFil: van Strijp Houtenbos, M.. Institute For Road Safety Research; PaĂ­ses BajosFil: Haworth, N.. Queensland University of Technology; AustraliaFil: Schramm, A.. Queensland University of Technology; AustraliaFil: de Bruyne, G.. Universiteit Antwerp; BĂ©lgicaFil: Cavallo, V.. No especifĂ­ca;Fil: Chliaoutakis, J.. No especifĂ­ca;Fil: Pereira Dias, Joao. Instituto Superior Tecnico; PortugalFil: Ferraro, Ottavia Eleonora. Universita Degli Studi Di Pavia; ItaliaFil: Fyhri, Aslak. No especifĂ­ca;Fil: Sajatovic, Anika Hursa. No especifĂ­ca;Fil: Kuklane, Kalev. Lund University; SueciaFil: Ledesma, Ruben Daniel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Mar del Plata. Instituto de PsicologĂ­a BĂĄsica, Aplicada y TecnologĂ­a. Universidad Nacional de Mar del Plata. Facultad de PsicologĂ­a. Instituto de PsicologĂ­a BĂĄsica, Aplicada y TecnologĂ­a.; ArgentinaFil: CalvĂ© Mascarell, Oscar. Ben Gurion University of the Negev; IsraelFil: Morandi, A.. Universita Degli Studi Di Pavia; ItaliaFil: Muser, Markus. No especifĂ­ca;Fil: Otte, Diettmar. No especifĂ­ca;Fil: Papadakaki, M.. No especifĂ­ca;Fil: SanmartĂ­n, J.. Universidad de Valencia; EspañaFil: Dulf, D.. No especifĂ­ca;Fil: Saplioglu, M.. No especifĂ­ca;Fil: Tzamalouka, Georgia. No especifĂ­ca
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