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Importing Vector Graphics: The grImport Package for R [PDF]
This article describes an approach to importing vector-based graphical images intostatistical software as implemented in a package called grImport for the R statistical com-puting environment.
Paul Murrell
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explorase: Multivariate Exploratory Analysis and Visualization for Systems Biology [PDF]
The datasets being produced by high-throughput biological experiments, such as microarrays, have forced biologists to turn to sophisticated statistical analysis and visualization tools in order to understand their data. We address the particular need for
Michael Lawrence +4 more
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Modelling the Relationship between Environmental Graphics and Feeling of Security in Spectators of Iranian Soccer Stadiums [PDF]
Purpose: The feeling of security in public sports stadiums is one of the most critical indicators for the quality of the arena. The use of environmental graphics in stadiums can create a sense of security in the spectators.
Abbas Nazarian Madavani +2 more
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Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus on how to make it easy to handle, explore, and impute missing values in data. This paper addresses this gap.
Nicholas Tierney, Dianne Cook
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Bringing Visual Inference to the Classroom
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions.
Adam Loy
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Test problems composition methodology of different degrees of difficulties for the "Computer graphics" discipline [PDF]
Improving the effectiveness of education in the teaching of computer graphics is the organization of the educational process using new information and communication technologies, as well as quality control of the learning modules.
Nasritdinova Umida
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Statistical Graphics for Survey Weights
Survey weights are used for correcting known differences between the sample and the population due to sampling design, nonresponse, undercoverage, and other factors.
SUSANNA MAKELA, YAJUAN SI, ANDREW GELMAN
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Designing Statistical Model-based Discriminator for Identifying Computer-generated Graphics from Natural Images [PDF]
The purpose of this paper is to differentiate between natural images (NI) acquired by digital cameras and computer-generated graphics (CG) created by computer graphics rendering software. The main contributions of this paper are threefold.
Mingying Huang +3 more
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Visual Information Literacy: Definition, Construct Modeling and Assessment
A major problem in education and visual information design is that, while tools to measure people’s reading and writing ability with texts and numbers are ripe, the ability to properly process information from data graphics – an ability ...
Angela Locoro +2 more
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ggenealogy: An R Package for Visualizing Genealogical Data
This paper introduces ggenealogy (Rutter, Vanderplas, and Cook 2019), a developing R software package that provides tools for searching through genealogical data, generating basic statistics on their graphical structures using parent and child ...
Lindsay Rutter +3 more
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