Why purchase commercial statistical software if there is R?
Keywords:
statistics, computing, statistical ecology, environmental statistics, biometrics, free software, Latin America, statistical teachingAbstract
Statistics is used in all scientific disciplines. Researches on ecology, natural resources, and engineering use statistical software packages for conducting their statistical analysis. We briefly review two statistical software packages most often used in ecological and engineering studies, SPSS and SAS, and compare them with the free statistical software R. We recommend the use of R for problems in ecology and engineering in Latinoamerica and third world countries, not only because it is a free, top shelf statistical software, but also because it offers a greater control of how each procedure is performed, thorough and widely available documentation, and a computing environment both suitable for statistics as well as for many quantitative areas in several disciplines.
References
FOX, J. 2005. The R Commander: A basic-statistics graphical user interface to R. Journal of Statistical Software 14(9):42.
GREGOIRE, TG & M KÖHL. 2000. Editorial: Statistical ecology and forest biometry. Environmental and Ecological Statistics 7:213-216.
HAASE, P; FI PUGNAIRE; SC CLARK & LD INCOLL. 1996. Spatial patterns in a two-tiered semi-arid shrubland in southeastern Spain. Journal of Vegetation Science 7:527-534.
HORNIK, H. 2008. The R FAQ. 118 p. http://CRAN.R-project.org/doc/FAQ/R-FAQ.html [consultado el 13 de Mayo, 2008].
IHAKA, R & R GENTLEMAN. 1996. R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics 5(3):299-314.
MCCULLOUGH, BD. 1999. Assessing the reliability of statistical software: Part II. The American Statistician 53(2):149-159.
MCCULLOUGH, BD & B WILSON. 1999. On the accuracy of statistical procedures in Microsoft Excel 97. Computational Statistics & Data Analysis 31(1):27-37.
MCCULLOUGH, BD & B WILSON. 2002. On the accuracy of statistical procedures in Microsoft Excel 2000 and Excel XP. Computational Statistics & Data Analysis 40(4):713-721.
MCCULLOUGH, BD & B WILSON. 2005. On the accuracy of statistical procedures in Microsoft Excel 2003. Computational Statistics & Data Analysis 49(4):1244-1252.
NEYMAN, J. 1955. Statistics - Servant of all sciences. Science 122(3166):401-406.
OKUNADE, AA; CF CHANG & RD EVANS. 1993. Comparative analysis of regression output summary statistics in common statistical packages. The American Statistician 47(4):298-303.
PINHEIRO, JC & DM BATES. 2000. Mixed-effects models in S and Splus. Springer-Verlag, New York, USA. 528 p.
R DEVELOPMENT CORE TEAM. 2007. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
RIPLEY, BD. 1977. Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, B. 39(2):172-212.
SALAS, C; V LEMAY; P NÚÑEZ; P PACHECO & A ESPINOSA. 2006. Spatial patterns in an old-growth Nothofagus obliqua forest in south-central Chile. Forest Ecology and Management 231(1-3):38-46.
SAS INSTITUTE INC. 2007. SAS. Cary, NC, USA. http://www.sas.com.SAS. 2007. SAS overview. http://www.sas.com/corporate/overview/index.html [consultado el 14 de Diciembre, 2007].
SEARLE, SR. 1989. Statistical computing packages: Some words of caution. The American Statistician 43(4):189-190.
SPSS INC. 2007. SPSS. Chicago, IL, USA. http://www.spss.com [consultado el 14 de Diciembre, 2007].
ZHU, X & O KULJACA. 2002. A short preview of free statistical software packages for teaching statistics to industrial technology majors. Journal of Industrial Technology 21(2):1-6.
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