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publications (14)
- a month and 8 days agoby folke1
- So you've spent hours slaving over the code for a beautiful statistical graphic in R, and now you're ready to show it to the world. You might be printing it, embedding it in a document, or displaying it on the web. Don't do your graph a disservice by causing it to look anything less than perfect in its final venue. Here are 10 tips to help make sure your graphic will always look best. 1. Call the right device driver from a script It's tempting to just create graphics to the on-screen device (such as X11 on Linux or Quartz... · http://blog.revolutionanalytics.com/2009/01/10-tips-for-making-your-r-graphics-look-their-best.htmlSo you've spent hours slaving over the code for a beautiful statistical graphic in R, and now you're ready to show it to the world. You might be printing it, embedding it in a document, or displaying it on the web. Don't do your graph a disservice by causing it to look anything less than perfect in its final venue. Here are 10 tips to help make sure your graphic will always look best. 1. Call the right device driver from a script It's tempting to just create graphics to the on-screen device (such as X11 on Linux or Quartz... · http://blog.revolutionanalytics.com/2009/01/10-tips-for-making-your-r-graphics-look-their-best.html2 months and 6 days ago2
- This TechNote shows R colors in a way that is intended to aid finding colors by name, or by index in the colors() vector. R is such a graphics rich tool, but the textual documentation of R's colors() vector, hinders an end user from quickly finding colors of interest. The Chart of R Colors in PDF format can be displayed on the screen or printed to help locate colors. Such a comparison will show colors that are reproduced reasonably well on both a display monitor and a particular printer. In addition to simply displaying the various color in R, this TechNote provides some details of how to work with color in R. · http://research.stowers-institute.org/efg/R/Color/Chart/index.htmThis TechNote shows R colors in a way that is intended to aid finding colors by name, or by index in the colors() vector. R is such a graphics rich tool, but the textual documentation of R's colors() vector, hinders an end user from quickly finding colors of interest. The Chart of R Colors in PDF format can be displayed on the screen or printed to help locate colors. Such a comparison will show colors that are reproduced reasonably well on both a display monitor and a particular printer. In addition to simply displaying the various color in R, this TechNote provides some details of how to work with color in R. · http://research.stowers-institute.org/efg/R/Color/Chart/index.htm2 months and 13 days ago1
- Social Network Site such as Facebook, Twitter becomes are integral part of people's life in. People interact with each other in different form of activities and a lot of information has been captured in the social network. Mining such a network can reveal some very useful information that can help an organization to gain competitive advantages. · http://horicky.blogspot.de/2012/04/basic-graph-analytics-using-igraph.htmlSocial Network Site such as Facebook, Twitter becomes are integral part of people's life in. People interact with each other in different form of activities and a lot of information has been captured in the social network. Mining such a network can reveal some very useful information that can help an organization to gain competitive advantages. · http://horicky.blogspot.de/2012/04/basic-graph-analytics-using-igraph.html2 months and 13 days ago1
- JavaScript InfoVis Toolkit, Meaningful Visualizations · http://philogb.github.com/jit/JavaScript InfoVis Toolkit, Meaningful Visualizations · http://philogb.github.com/jit/5 months and 20 days agoby jaeschke2
- Peter Kampstra. Journal of Statistical Software, Code Snippets 28(1):1--9 (October 2008)Peter Kampstra. Journal of Statistical Software, Code Snippets 28(1):1--9 (October 2008)2 years agoby gron4
- Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky. Commun. ACM 53(6):59--67 (2010)Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky. Commun. ACM 53(6):59--67 (2010)2 years and 10 months agoby zhenzhenx8
- R. Kumar, A. Tomkins, and E. Vee. Proceedings of the Conference on Web Search and Data Mining, WSDM 2008, page 129-138. ACM, (2008)R. Kumar, A. Tomkins, and E. Vee. Proceedings of the Conference on Web Search and Data Mining, WSDM 2008, page 129-138. ACM, (2008)5 years and a month agoby mschuber7
- Douglas G. Simpson, and Yuan-Chin Ivan Chang. Journal of Statistical Planning and Inference 57(2):273--293 (Feb 1, 1997)Douglas G. Simpson, and Yuan-Chin Ivan Chang. Journal of Statistical Planning and Inference 57(2):273--293 (Feb 1, 1997)5 years and a month agoby smicha1
- Karen Kafadar, and Clifford H. Spiegelman. Computational Statistics \& Data Analysis 4(3):167--184 (October 1986)Karen Kafadar, and Clifford H. Spiegelman. Computational Statistics \& Data Analysis 4(3):167--184 (October 1986)5 years and a month agoby smicha1
- Wei-Yin Loh. Computational Statistics \& Data Analysis 14(2):135--148 (August 1992)Wei-Yin Loh. Computational Statistics \& Data Analysis 14(2):135--148 (August 1992)5 years and a month agoby smicha1
- John Lawson, Scott Grimshaw, and Jason Burt. Computational Statistics \& Data Analysis 26(4):425--436 (Feb 6, 1998)John Lawson, Scott Grimshaw, and Jason Burt. Computational Statistics \& Data Analysis 26(4):425--436 (Feb 6, 1998)5 years and a month agoby smicha1
- Zongwu Cai, and Chih-Ling Tsai. Computational Statistics \& Data Analysis 29(4):445--469 (Feb 28, 1999)Zongwu Cai, and Chih-Ling Tsai. Computational Statistics \& Data Analysis 29(4):445--469 (Feb 28, 1999)5 years and a month agoby smicha1
- Han Son Seo. Computational Statistics \& Data Analysis 30(2):221--228 (Apr 28, 1999)Han Son Seo. Computational Statistics \& Data Analysis 30(2):221--228 (Apr 28, 1999)5 years and a month agoby smicha1
- Henrik Aa. Nielsen, and Henrik Madsen. Computational Statistics \& Data Analysis 37(1):13--31 (Jul 28, 2001)Henrik Aa. Nielsen, and Henrik Madsen. Computational Statistics \& Data Analysis 37(1):13--31 (Jul 28, 2001)5 years and a month agoby smicha1
- David J. Olive. Computational Statistics \& Data Analysis 46(1):93--102 (May 28, 2004)David J. Olive. Computational Statistics \& Data Analysis 46(1):93--102 (May 28, 2004)5 years and a month agoby smicha2
- N. Vandewalle, and M. Ausloos. Physica A: Statistical and Theoretical Physics 268(1-2):240--249 (Jun 1, 1999)N. Vandewalle, and M. Ausloos. Physica A: Statistical and Theoretical Physics 268(1-2):240--249 (Jun 1, 1999)5 years and a month agoby smicha1
- Paul Ricœur. University of Chicago Press, (1988)Paul Ricœur. University of Chicago Press, (1988)5 years and 8 months agoby yish1