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Producing Accessible Statistics Diagrams in R

Donal Fitzpatrick, A. Jonathan R. Godfrey, Volker Sorge
2017 Proceedings of the 14th Web for All Conference on The Future of Accessible Work - W4A '17  
CREATING ACCESSIBLE DIAGRAMS We generate accessible diagrams using the R statistical software application [8] .  ...  data. the process of producing accessible diagrams begins inside R itself by augmenting the statistical model and semantically enriching the generated graphics to make them accessible.  ... 
doi:10.1145/3058555.3058564 dblp:conf/w4a/FitzpatrickGS17 fatcat:jg6nzgem7ve2lj5jcv4xfi6fpm

Venn Diagrams inR

Duncan J. Murdoch
2004 Journal of Statistical Software  
This article describes R functions used to produce Venn diagrams and related incidence tables. The methods have applications in bioinformatics.  ...  Acknowledgments This work was supported in part by an NSERC Discovery Grant to Duncan Murdoch. The author is grateful to an anonymous referee for some very helpful comments.  ...  This figure was produced using the code R> venn(accession, libname, main = "All samples") where accession was a vector containing the codes identifying the RNA sequences, and libname was a vector containing  ... 
doi:10.18637/jss.v011.c01 fatcat:3vhbwtksk5bhlabmsrkv36rjry

Generating Web Services for Statistical Survey Packages from Domain-specific Visual Languages

Chul Hwee Kim, John Hosking, John Grundy
2007 Second International Workshop on Incorporating COTS Software into Software Systems: Tools and Techniques (IWICSS '07)  
In this paper we describe SDLTool's support for turning high-level survey design models into widely accessible web services to share complex statistical survey technique implementations run by COTS statistical  ...  We have been developing a highlevel, domain-specific visual language, the Survey Design Language (SDL), and associated support tool, SDLTool, in conjunction with statisticians.  ...  The two techniques are composed in the same diagram as they use the same statistical data. They are bound to external analysis methods implemented using R.  ... 
doi:10.1109/iwicss.2007.6 fatcat:3y55vlunafegxpomdw5ikxs3we

Visualizing the COVID-19 pandemic in Bangladesh using coxcombs: A tribute to Florence Nightingale [article]

Hasinur Rahaman Khan, Tamanna Howlader
2020 medRxiv   pre-print
The paper also describes codes that allow one to easily reproduce the graphs using the statistical programming language R.  ...  Nightingale's famed Florence Nightingle Diagram also known as "coxcomb", which was created 150 years ago and used to display the causes of death in the British Army hospital barracks, demonstrated how  ...  In the next section, we demonstrate how the coxcomb graphs are generated by using the statistical language R.  ... 
doi:10.1101/2020.05.23.20110866 fatcat:qyg5veqqczgihgoaeduwb44lny

Development of computer-assisted instruction application for statistical data analysis android platform as learning resource

P Hendikawati, R Arifudin, M Z Zahid
2018 Journal of Physics, Conference Series  
This study aims to design an android Statistics Data Analysis application that can be accessed through mobile devices to making it easier for users to access.  ...  The Statistics Data Analysis application includes various topics of basic statistical along with a parametric statistics data analysis application.  ...  This shows that the learning media CAI SDA produced can be used as an alternative media to learn Statistics in lectures as one learning resource.  ... 
doi:10.1088/1742-6596/983/1/012057 fatcat:kuto5njtdzdhfe2ztiia5prfba

jvenn: an interactive Venn diagram viewer

Philippe Bardou, Jérôme Mariette, Frédéric Escudié, Christophe Djemiel, Christophe Klopp
2014 BMC Bioinformatics  
Finally, jvenn can easily be embeded in a web page, allowing to have dynamic Venn diagrams.  ...  It processes lists and produces Venn diagrams. It handles up to six input lists and presents results using classical or Edwards-Venn layouts. User interactions can be controlled and customized.  ...  We also thank Julie Aubert and the French StatOmique Consortium for providing us the data used in the "Results" section.  ... 
doi:10.1186/1471-2105-15-293 pmid:25176396 pmcid:PMC4261873 fatcat:qbevaquzfjbrfl4cfrhkth6hhu

UsingR-basedVOStatas a Low-Resolution Spectrum Analysis Tool

G. Jogesh Babu, Ashish Mahabal
2007 Journal of Statistical Software  
Written mostly in the public-domain statistical computing language and environment R, it can do a variety of statistical analysis on multidimensional, multi-epoch data with errors.  ...  Included are techniques which allow astronomers to start with multi-color data in the form of low-resolution spectra and select special kinds of sources in a variety of ways including color outliers.  ...  This is in addition to native R plot capability. VOStat currently provides access to selected functionality from the open source language and environment for statistical computing R.  ... 
doi:10.18637/jss.v018.i11 fatcat:g7lxtqx7v5g73giemlimdql2q4

A suite of visual languages for model-driven development of statistical surveys and services

Chul Hwee Kim, John Grundy, John Hosking
2015 Journal of Visual Languages and Computing  
Methods: we have developed, in conjunction with professional statisticians, the Statistical Design Language (SDL), an integrated suite of visual languages aimed at supporting the process of designing statistical  ...  SDL comprises five diagrammatic notations: survey diagrams, data diagrams, technique diagrams, task diagrams and process diagrams.  ...  Acknowledgements The authors gratefully acknowledge the assistance of James Reilly as statistical consultant, our panel of user evaluators, and Nianping Zhu for implementing the Pounamu meta tool.  ... 
doi:10.1016/j.jvlc.2014.11.005 fatcat:u36yjfthazdqnplkb3vkybcdpe

On the Differential Geometry of the Wald Test with Nonlinear Restrictions

Frank Critchley, Paul Marriott, Mark Salmon
1996 Econometrica  
Hence Wald statistics are , in general, not invariant to changes in the coordinate system in which the null hypothesis is expressed.  ...  We show that the problem arises because W(g) is not , in general, a geometric quantity in the natural statistical manifold.  ...  The following diagram demonstrates the situation in general.  ... 
doi:10.2307/2171963 fatcat:tel3da2rkrcudbkswcf57kgs3i

Very low rate convolution codes for maximum theoretical performance of spread-spectrum multiple-access channels

A.J. Viterbi
1990 IEEE Journal on Selected Areas in Communications  
This detection statistic can be analyzed by substituting equations (5), (3), and (1) in equation (7) , giving: (7) - 1 k (8) 22 = W incl r(n) -21s1(n)s(n) where the property that R=R* has been used.  ...  The result ing baseband signal is provided to the stage 1 processor 206, which produces a detection statistic for the signal 1, Z, the strongest signal, and a residual signal, r, which represents the received  ... 
doi:10.1109/49.54460 fatcat:mealhsqnzrbb7hicspvobickru

Data model applications for the SuperAGILE detection system

Francesco Lazzarotto, Ettore Del Monte, Marco Feroci
2004 Optimizing Scientific Return for Astronomy through Information Technologies  
We show a modeling approach to describe the data involved in an astronomical space mission.  ...  the E-R diagram in figure 14 on page 10Figure 14.  ...  An E-R diagram expresses a conceptual model of data.  ... 
doi:10.1117/12.551760 fatcat:gufe2fibajcwdb6zd26doxfwsa

A Modelling Language for Transparency Requirements in Business Information Systems [chapter]

Mahmood Hosseini, Alimohammad Shahri, Keith Phalp, Raian Ali
2016 Lecture Notes in Computer Science  
We propose a modelling language for capturing and analysing transparency requirements amongst stakeholders in a business information system.  ...  Our language is based on four reference models which are, in turn, based on our extensive multi-disciplinary analysis of the literature on transparency.  ...  r j ) ∈ R } Shield Diagram The Shield diagram is the graphical representation of the TranspLan language.  ... 
doi:10.1007/978-3-319-39696-5_15 fatcat:hxrgxexjbze5ve6cgxlmlbomie

ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics

H.-J. Chung, M. Kim, C. H. Park, J. Kim, J. H. Kim
2004 Nucleic Acids Research  
When one inputs gene-expression clusters, ArrayXPath produces a list of the best matching pathways for each cluster.  ...  We applied Fisher's exact test and the false discovery rate (FDR) to evaluate the statistical significance of the association between a cluster and a pathway while correcting the multiple-comparison problem  ...  ACKNOWLEDGEMENTS The authors thank all SNUBI members and external testers for their effort in inputting and evaluating the pathway diagrams.  ... 
doi:10.1093/nar/gkh476 pmid:15215430 pmcid:PMC441614 fatcat:agesrxokbjfupmc2j7izxbgoce

Model Driven Design and Implementation of Statistical Surveys

Chul Kim, John Hosking, John Grundy
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
This permits rapid exploration of statistical questions, together with the ability to publish both analysis results and the techniques and processes used, the latter in the form of executable web services  ...  of complex statistical surveys.  ...  Acknowledgements The authors gratefully acknowledge the assistance of James Reilly as statistical consultant, our panel of user evaluators, and Nianping Zhu for implementing the Pounamu meta tool.  ... 
doi:10.1109/hicss.2007.383 dblp:conf/hicss/KimHG07 fatcat:uio7wyc4sbhrrexllzlxqeow3e

Monte Carlo study of aU(1)×U(1)system withπ-statistical interaction

Scott D. Geraedts, Olexei I. Motrunich
2012 Physical Review B  
We are able to reformulate the model in a way that can be studied by Monte Carlo and we determine the phase diagram.  ...  We study a U(1)× U(1) system with two species of loops with mutual π-statistics in (2+1) dimensions.  ...  Senthil for many stimulating discussions, and in particular thank A. Vishwanath for careful reading of the manuscript and useful suggestions.  ... 
doi:10.1103/physrevb.85.045114 fatcat:tfj5aeqsiza5laf6qzdoatw3fi
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