cranvas is an R package for interactive statistical graphics. It is based on the Qt framework. Currently the package is available from github and will come to CRAN some time in 2012.
is for exploring data, whether raw data, transformed data or model
residuals. MANET provides a range of graphical tools specially designed
for studying multivariate features. Anyone involved in analysing data
will find MANET useful for gaining insights into the structure and relationships
of their data sets.
GGobi is software for data
exploration using highly interactive statistical graphics. My main contribution
is a first implementation of area charts, such as barcharts and histograms.
ASA Data Expo 2011."A Graphical Exploration of the BP Oil Spill"
with Lendie Follett and Ulrike Genschel; our poster won the first prize.
Design for America." Recovery and Re-investment Act"
with the Statistical Graphics working group; our contribution won the first prize in its category.
ASA Data Expo 2009."Flying over the USA"
with the Statistical Graphics working group; our poster won the second prize.
Contest 2005:"Boom and Bust of Technology Companies at the
Turn of the 21st Century"
with Hadley Wickham, Dianne Cook, Junjie Sun, Christian Röttger; our submission received a first prize and is now part of the Information Visualization Benchmarks Repository.
ASA Data Expo 2006."Glaciers
Melt as Mountains Warm"
with Hadley Wickham, Jonathan Hobbs, Dianne Cook; our poster won the second prize.
LAS Award for Early Excellence in Research/Creative Activity 2006
Graphics of Large Datasets, with Antony Unwin and Martin Theus, Springer,
New York, 2006.
Graphical Tools for the Exploration of Multivariate Categorical Data,
ISBN 3831116601, 2001.
in Google Books
Buja A., Swayne D.F., Littman M., Dean N., Hofmann H.: Interactive Data Visualization with Multidimensional Scaling, Journal of Computational and Graphical Statistics, 2008, Vol 17 (2): pp. 444–472.
Cook D., Hofmann H., Nikolau B., Wurtele E., Lee Eun-kyung, Yang H.: Exploring gene expressions using plots. Journal of Data Science 5, pp.151-182, 2007.
Wickham H., Lawrence M., Cook D., Buja A., Hofmann H., Swayne D.: The plumbing of interactive graphics}, Computational Statistics, May, 2008 (online).
Buja A., Swayne D.F., Littman M., Dean N., Hofmann H., Chen L.: Interactive Data Visualization with Multidimensional Scaling. Journal of Computational and Graphical Statistics, 17, 2, 444--472, 2008.
Yan A, Kloczkowski A, Hofmann H, Jernigan RL.: Prediction of side chain orientations in proteins by statistical machine learning methods. Journal of biomolecular structure and dynamics, 3, 275--288, 2007.
J. Hobbs, H. Wickham, H. Hofmann, and D. Cook: Glaciers melt as mountains warm: A graphical case study, Computational Statistics, Invited submission. Special issue for ASA Statistical Computing and Graphics Data Expo 2007.
Hofmann H.: Interview with a Centennial Chart. CHANCE, 20 (3), pp. 26--35, 2007.
Cook D., Hofmann H., Nikolau B., Wurtele E., Lee Eun-kyung, Yang H.: Exploring gene expressions using plots Journal of Data Science, 5(2), 2007.
Hofmann H.: Mosaic Plots. Encyclopedia of Measurement and Statistics, SAGE, Neil J. Salkind (ed.), 2006.
Hofmann H.: Parallel Coordinate Plots. Encyclopedia of Measurement and Statistics, SAGE, Neil J. Salkind (ed.), 2006.
Hofmann H.: Graphical Statistical Methods. Encyclopedia of Measurement and Statistics, SAGE, Neil J. Salkind (ed.), 2006.
Ahn J.S., Cook D., Hofmann H.: A Projection Pursuit Method on the multidimensional squared Contingency Table Computational Statistics, Vol 18 (4), pp. 605626, 2003
Wurtele E.S., Dickerson J.D., Cook D., Hofmann H., Li J., Diao L.:MetNet: software to build and model the biogenetic lattice of Arabidopsis. Comparative and Functional Genomics. Vol 4, pp.239245, 2003.
Hofmann H.: Constructing and reading mosaicplots Computational Statistics and Data Analysis, Vol 43, No. 4, pp. 565-580, 2003.
Unwin A., Hofmann H., Wilhelm A.: Direct Manipulation Graphics for Data Mining. International Journal of Image and Graphics, Vol. 2, No. 1, pp. 49-65, 2002.
Hofmann H.: Generalised Odds Ratios for Visual Modelling. In Journal of Computational and Graphical Statistics, 10, pp 628-640, 2002.
Hofmann H., Unwin A. Wilhelm A.: Data Mining and Statistics - Introduction. in Computational Statistics, 16(3),pp. 317-321, 2001.
Hofmann H., Wilhelm A.: Visual Comparisons of Association Rules. In Computational Statistics, 16(3), pp 399-416, 2001.
Wilhelm A., Hofmann H.: Graphics for Categorical Data and their Applications in Data Mining. In C. Provasi (Ed.), Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione, pp. 51-56, 2001.
Hofmann H.: Exploring Categorical Data: Interactive Mosaic Plots. In Metrika, 51(1), 11-26, 2000.
Hofmann H., Theus M.: Selection Sequences in MANET. Computational Statistics, 13(1), 77-87, 1998.
Unwin A., Hawkins G., Hofmann H., Siegl B.: Interactive Graphics for Data Sets with Missing Values - MANET. Journal of Computational and Graphical Statistics, 5(2), pp. 113-122, 1996.