TY - JOUR
T1 - A versatile one-dimensional distribution plot
T2 - The blip plot
AU - Lee, J. Jack
AU - Tu, Z. Nora
N1 - Funding Information:
J. Jack Lee is Associate Professor, Department of Biomathematics, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030 (E-mail: lee@odin.mdacc.tmc.edu). Z. Nora Tu was Programmer Analyst, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030. She is now Graduate Student, Department of Public Health and Epidemiology, Yale University, New Haven, CT 06510. The research was supported in part by Grants CA-16672 and CA-52051 from the National Cancer In- stitute. The authors thank Kenneth Hess, Peter Thall, Terry Smith, and Joan Staniswalis for reading the manuscript and for useful comments. The authors also thank two anonymous referees, an associate editor, and the editor for their constructive suggestions.
PY - 1997/11
Y1 - 1997/11
N2 - A versatile graphical tool, the BLiP plot, was developed for displaying one-dimensional data. The basic building blocks are boxes, lines, and points. Like many standard one-dimensional distribution plots, the BLiP plot is capable of displaying individual data values in points or lines and grouped information in lines or boxes. In addition, the BLiP plot includes many new features such as variable-width plots and several choices of point patterns. The main advantage of the BLiP plot is that it provides users with basic graphical elements in a friendly and flexible environment so that users can, according to their needs, construct anything from a simple, standard plot to a complex, customized plot to best present their data.
AB - A versatile graphical tool, the BLiP plot, was developed for displaying one-dimensional data. The basic building blocks are boxes, lines, and points. Like many standard one-dimensional distribution plots, the BLiP plot is capable of displaying individual data values in points or lines and grouped information in lines or boxes. In addition, the BLiP plot includes many new features such as variable-width plots and several choices of point patterns. The main advantage of the BLiP plot is that it provides users with basic graphical elements in a friendly and flexible environment so that users can, according to their needs, construct anything from a simple, standard plot to a complex, customized plot to best present their data.
KW - Boxplot
KW - Histogram
KW - One-dimensional scatterplot
KW - Summary statistics
KW - Variable-width plots
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U2 - 10.1080/00031305.1997.10474412
DO - 10.1080/00031305.1997.10474412
M3 - Article
AN - SCOPUS:0031485482
SN - 0003-1305
VL - 51
SP - 353
EP - 358
JO - American Statistician
JF - American Statistician
IS - 4
ER -