Graphics for Statistics and Data Analysis with R

Graphics for Statistics and Data Analysis with R

Volumn , Issue , 2010, Pages 1-442

  Keen, Kevin J ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85122907675     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Book

References (112)

1. "numeracy, n." The Oxford English Dictionary. 2nd ed. 1989 OED Online. Oxford University Press, Oxford, UK, DRAFT REVISION Mar. 2004 .
2. graphicacy, n." The Oxford English Dictionary. 2nd ed. 1989 OED Online. Oxford University Press, Oxford, UK, ADDITIONS SERIES 1993 .
3. Anderson E. The irises of the Gaspe Peninsula. Bulletin of the American Iris Society, 59:2-5, 1935.
4. Andrews DF, Herzberg AM. Data: A Collection of Problems from Many Fields for the Student and Research Worker. Springer, New York, NY, 1985.
5. Anscombe FJ. Graphs in statistical analysis. The American Statistician, 27:17-21, 1973.
6. Anscombe FJ, Tukey JW. The estimation and analysis of residuals. Technomet-rics, 5:141-160, 1963.
7. Apple Human Interface Guidelines: The Apple Desktop Interface. Addison- Wesley, Boston, MA, 1987.
8. Baird JC. Psychophysical Analysis of Visual Space. Pergamon Press, Oxford, England, 1970.
9. Becker RA, Chambers JM, Wilks AR. The New S Language. Bell Telephone Laboratories, Inc., Murray Hill, NJ, 1988.
10. Becker RA, Cleveland WS. S-PLUS Trellis Graphics User\s Manual. MathSoft, Inc., Seattle, WA, and Bell Labs, Murray Hill, NJ, 1996.
11. Becker RA, Cleveland WS, Shyu M-J. The visual design and control of trellis display. Journal Computational and Graphical Statistics, 5:123-155, 1996.
12. Blom G. Statistical Estimates and Transformed Beta Variables. John Wiley and Sons, New York, NY, 1958.
13. Box GEP, Cox DR. An analysis of transformations. Journal of the Royal Sta-tistical Society, Series B, 26:211-243, 1964.
14. British Wreck Commissioner?s Inquiry Report on the loss ofthe "Titanic." (s.s). His Majesty?s Stationery Office, London, England, 1912.
15. Brofeldt P. Bidgrag till kaennedom on fiskbestondet i vaara sjoear. laengel- maevesi., Finlands fiskeriet band 4. Meddelanden utgivna av fiskerifoereningen i Finland, Helsingfors, Finland, 1917.
16. Brown LJ, Hwang G. How to approximate a histogram by a normal density. The American Statistician, 47:251-257, 1993.
17. Burn DA. Designing Effective Statistical Graphics. Computational Statistics, Handbook of Statistics, Volume 9, Chapter 22, pp. 745-773. Elsevier Science Publishers B.V., Amsterdam, The Netherlands, 1993.
18. Cavendish H. Experiments to determine the density of the earth. Philosophical Transactions ofthe Royal Society ofLondon, 88:469-526, 1798.
19. Chernoff H. The use of faces to represent points in K-dimensional space graphi-cally. Journal of the American Statistical Society, 68:361-368, 1973.
20. Cleveland WS. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74:829-836, 1979.
21. Chambers JM, Cleveland WS, Kleiner B, Tukey PA. Graphical Methods for Data Analysis. Wadsworth & Brooks/Cole, Monterey, CA, 1983.
22. Cleveland WS. The Elements of Graphing Data. Wadsworth Advanced Books, Monterey, CA, 1985.
23. Cleveland WS. Visualizing Data. Hobart Press, Summit, NJ, 1993.
24. Cleveland WS. A model for studying display methods of statistical graphics. Journal of Computational and Graphical Statistics, 2:323-343, 1993.
25. Cleveland WS, McGill ME, McGill R. The shape parameter of a two-variable graph. Journal of the American Statistical Association, 83:289-300, 1988.
26. Cleveland WS, McGill R. Graphical perception: theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79:531-554, 1984.
27. Cleveland WS, McGill R. The many faces of a scatterplot. Journal of the American Statistical Association, 79:807-822, 1984.
28. CookRD. Detection of influential observation in linear regression. Technomet-rics, 79:15-18, 1977.
29. Cramer H. Mathematical Methods of Statistics. Princeton University Press, Princeton, NJ, 1946.
30. Croxton FE. Further studies in the graphic use of circles and bars: (II) Some additional data. Journal ofthe American Statistical Association, 22:36-39, 1927.
31. Croxton FE, Stein H. Graphic comparison by bars, squares, circles, and cubes. Journal of the American Statistical Association, 27:54-60, 1932.
32. Croxton FE, Stryker RE. Bar charts versus circle diagrams. Journal of the American Statistical Association, 22:473-482, 1927.
33. Doane DP. Aesthetic frequency classifications. The American Statistician, 30:181-183, 1976.
34. Eells WC. The relative merits of circles and bars for representing component parts. Journal ofthe American Statistical Association, 21:119-132, 1926.
35. Epanechnikov VA. Nonparametric estimation of a multidimensional probability density. Theory of Probability and Its Applications, 214:153-158, 1969.
36. Falconer DS, Mackay TFC. Introduction to Quantitative Genetics. Pearson Education, Harlow, 1996.
37. Fisher NI. Statistical Analysis of Circular Data. Cambridge University Press, Cambridge, 1993.
38. Fisher RA. The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh, 52:399-433, 1918.
39. Fisher RA. On the probable error of a coefficient of correlation deduced from a small sample. Metron, 4:1-513, 1921.
40. Fisher RA. Statistical Methods for Research Workers. Oliver and Boyd, Edin-burgh, 1925.
41. Fisher RA. Applications of "Studenfs" distribution. Metron, 5:90-104, 1925.
42. Fisher RA. The arrangement of field experiments. Journal of the Ministry of Agriculture of Great Britain, 33:503-513, 1926.
43. Fisher RA. The use of multiple measurements in taxonomic problems. Annals ofEugenics, 7:179-188, 1936.
44. Fox J. AnRandS-PLUSCompaniontoAppliedRegression. Thousand Oaks, CA, 2002.
45. Freedman D, Diaconis P. On the histogram as a density estimator: L2 Theory. Zeitschriftfur Wahrscheinichkeitstheorie und verwandte Gebiete, 57:453-476, 1981.
46. Frigge M, Hoaglin DC, Iglewicz B. Some implementations of the boxplot. The American Statistician, 43:50-54, 1989.
47. Galton F. Meteorographica, or Methods of Mapping the Weather. Macmillan, London, 1863.
48. Galton F. Family records [Letter to the Editor]. The Times, 9 January:10b, 1884.
49. Galton F. Record of family faculties [Letter]. Journal of the Royal Statistical Society, 47:166, 1884.
50. Galton F. Prize records of family faculties [Letter to the Editor]. The Times, 19 May:9e, 1884.
51. Galton F. Presidential address, Section H, Anthropology. Report ofthe British Association for the Advancement of Science, 55:1206-1214, 1885.
52. Galton F. Regression towards mediocrity in hereditary stature. Journal of the Anthropological Institute of Great Britain and Ireland, 15:246-263, 1886.
53. Galton F. Co-relations and their measurement, chiefly from anthropometric data. Proceedings ofthe Royal Society, 45:135-145, 1888.
54. Galton F. Natural Inheritance. Macmillan, London, 1889.
55. Galton F, Hamilton Dickson JD. Family Likeness in Stature. Proceedings ofthe Royal Society, 40:42-73, 1886.
56. Gaynor BD, Chidambaram JD, Cevallos V, Miao Y, Miller K, Jha HC, Bhatta RC, Chaudhary JSP, Osaki Holm S, Whitcher JP, Holbrook KA, Fry AM, Lietman TM. Topical ocular antibiotics induce bacterial resistance at extraocular sites. British Journal of Ophthalmology, 89:1097-1099, 2005.
57. Hall P. Large sample optimality of least-squares cross-validation in density esti-mation. Annals ofStatistics, 11:1156-1174, 1983.
58. Hall P, Marron JS. Estimation of integrated squared density derivatives. Statistics and Probability Letters, 6:109-115, 1987.
59. Hanley JA. "Transmuting" women into men: Galton?s family data on human stature. The American Statistician, 58:237-243, 2004.
60. Hartigan JA, Kleiner B. "Mosaics for contingency tables in Proceedings of the 13th Symposium on the Interface Between Computer Science and Statistics, ed. W. F. Eddy, Springer-Verlag, New York, NY, 1981.
61. Hartigan JA, Kleiner B. A mosaic of television ratings. The American Statisti-cian, 38:32-35, 1984.
62. Hayfield T, Racine JS. Nonparametric econometrics: The np package. Journal ofStatistical Software, 27:1-32, 2008.
63. HenryGT. GraphingData: TechniquesforDisplayandAnalysis. Sage, Thousand Oaks, CA, 1995.
64. Hintze JL, Nelson RD. Violin plots: A box plot-density trace synergism. The American Statistician, 52:181-184, 1998.
65. Hoaglin DC, Iglewicz B. Fine-tuning some resistant rules for outlier labeling. Journal ofthe American Statistical Association, 82:1147-1149, 1987.
66. Hodges JL, Lehmann EL. The efficiency of some nonparametric competitors of the t-test. The Annals ofMathematical Statistics, 13:435-475, 1956.
67. Huff D. How to Lie with Statistics. W. W. Norton, New York, NY, 1954.
68. Hyndman RJ, Fan Y. Quantiles in statistical packages. The American Statisti-cian, 50:361-365, 1996.
69. Jacoby WG. Statistical Graphicsfor Univariate and Bivariate Data. Sage, Thousand Oaks, CA, 1997.
70. Jones MC, Marron JS, Sheather SJ. A brief survey of bandwidth selection for density estimation. Journal of the American Statistical Association, 91:401-407, 1996.
71. KeenKJ. EstimationofIntraclass andInterclass Correlations. DoctoralThesis, University of Toronto, Toronto, 1987.
72. Keen KJ, Elston RC. Robust asymptotic sampling theory for correlations in pedigrees. Statistics in Medicine, 22:3229-3247, 2003.
73. KendallM, Stuart, A. TheAdvancedTheoryofStatistics, Volume1, Distribution Theory, Fourth Edition. Macmillan Publishing, New York, NY, 1997.
74. KosslynS. Graphics and human information processing: a review of five books. Journal of the American Statistical Association, 80:499-512, 1985.
75. LalanneL. Cours complet de meteorologie deL. F. Kaemtz, traduit et an- note par Ch. Martins, Appendix: Sur la repre senation graphique des tableaux meteorologiques et des lois naturelles en general. Paris, France, 1845.
76. Lee JJ, Tu ZN. A versatile one-dimensional distribution plot: the blip plot. The American Statistician, 51:353-358, 1997.
77. Manchester L. A technique for comparing graphical methods. Canadian Journal of Statistics, 19:1-22, 1991.
78. Marron JS. Discussion of: Practical performance of several data driven bandwidth selectors by Park and Turlach. Computational Statistics, 8:17-19, 1993.
79. McGill R, Tukey JW, Larsen WA. Variations of box plots. The American Statistician, 32:12-16, 1978.
80. Murrell P. R Graphics. Chapman and Hall/CRC, Taylor and Francis Group, Boca Raton, FL, 2006.
81. Nadaraya EA. On estimating regression. Theory of Probability and its Applica-tions, 10:1189-190, 1964.
82. Neter J, Kutner MH, Nachtsheim CJ, Wasserman W. Applied Linear Statistical Models, Fourth Edition. Richard D. Irwin, Chicago, IL, 1996.
83. Nightingale F. Notes on matters affecting the health, efficiency and hospital administration of the British Army. Florence Nightingale, London, 1858.
84. Pearson K. Contributions to the mathematical theory of evolution. [Abstract]. II. Skew variation in homogenous material. Proceedings of the Royal Society of London, 54:329-333, 1893.
85. Pearson K. Contributions to the mathematical theory of evolution. II. Skew variation in homogenous material. Philosophical Transactions of the Royal Society of London, A, 186:343-414, 1895.
86. Pearson K. Mathematical contributions to the theory of evolution. III. Regression, Heredity and Panmixia. Philosophical Transactions of the Royal Society of London, A, 187:253-318, 1896.
87. Pearson K. Data for the problem of the evolution in Man. III. On the magnitude of certain coefficients of correlation in man, &c. Proceedings of the Royal Society of London, 66:23-32, 1899.
88. Pearson K. Mathematical contributions to the theory of evolution. X. Supplement to a memoir on skew variation. Philosophical Transactions of the Royal Society ofLondon, A, 197:443-459, 1901.
89. Pearson K. Mathematical contributions to the theory of evolution. XIX. Second supplement to a Memoir on skew variation. Philosophical Transactions of the Royal Society ofLondon, A, 216:429-457, 1916.
90. Pearson K, Lee A. On the laws of inheritance in man. I. Inheritance of Physical Characters. Biometrika, 2:357-462, 1903.
91. Playfair W. The Commercial and Political Atlas. Corry, London, 1786.
92. R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2007.
93. Rhind A. Tables to facilitate the computations of the probable errors of the chief constants of skew frequency distributions. Biometrika, 7:127-147, 1909.
94. Roberts DF, Billiewicz WZ, McGregor IA. Heritability of stature in a West African population. Annals ofHuman Genetics, 42:15-24, 1978.
95. Rousseeuw PJ, Ruts I. The bagplot: a bivariate box-and-whiskers plot, Technical Report, Universitaire Instelling Antwerpen, Antwerpen, 1997.
96. Rousseeuw PJ, Ruts I, Tukey JW. The bagplot: a bivarite boxplot. The American Statistician, 53:382-387, 1999.
97. Rousseeuw PJ, Van Aelst S, Hubert M. Rejoinder to the discussion of regression depth. Journal of the American Statistical Association, 94:419-433, 1999.
98. SAS Institute. SAS(R9.2 Help and Documentation. SAS Institute, Cary, NC, 2002-2009.
99. Schilling MF, Watkins AE. A suggestion for sunflower plots. The American Statistician, 48:303-305, 1994.
100. Schmid CF. Statistical Graphics. John Wiley, New York, NY, 1983.
101. Scott DW. On optimal and data-based histograms. Biometrika, 66:605-610, 1979.
102. Scott DW. Multivariate Density Estimation: Theory, Practice and Visualiza-tion. John Wiley, New York, NY, 1992.
103. Scott DW, Terrell GR. Biased and unbiased cross-validation in density estima-tion. Journal ofthe American Statistical Association, 82:1131-1146, 1987.
104. Sheather SJ. Density estimation. Statistical Science, 19:588-597, 2004.
105. Sheather SJ, Jones MC. A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society, Series B, 53:683-690, 1991.
106. Silverman BW. Density Estimation for Statistics and Data Analysis. Chapman & Hall/CRC, Boca Raton, FL, 1992.
107. SneeRD. Graphical display of two-way contingency tables. The American Statistician, 28:9-12, 1974.
108. Stephens MA. Techniques for directional data. Technical Report #150, Depart-ment of Statistics, Stanford University, Palo Alto, CA, 1969.
109. Stephens MA. Edf statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69:730-737, 1974.
110. Stigler S. Do Robust estimators work with real data? The Annals of Statistics, 5:1055-1098, 1977.
111. Student. The probable error of a mean. Biometrika, 6:1-25, 1908.
112. Sturges HA. The choice of a class interval. Journal of the American Statistical Association, 21:65-66, 1926.