Package in R environment to automate descriptive statistics

Authors

  • Emmanuel Arnhold Escola de Veterinária e Zootecnia, Campus Samambaia, Rodovia Goiânia-Nova Veneza, Caixa Postal 131, CEP 74001-970, Goiânia/GO

Keywords:

software, statistic, data analysis

Abstract

The objective was to create package in R environment, called ds with title
"Descriptive Statistics" in order to provide functions to automate various descriptive statistics.
The package comprises a gds() function, which returns to a single variable or set of variables,
several measures of descriptive statistics such as average, maximum, minimum, the median,
average over 1, 2 and 3 standard deviations of the mean minus 1, 2 and 3 standard deviations of
the quantiles 0.14%, 0.28%, 15.87%, 84.14%, 97.73%, 99.87%, the sample size (n), the
amplitude, variance, standard deviation, standard error of the mean, the coefficient of variation in
asymmetry, kurtosis and probability value of the Shapiro-Wilk normality test. The package also
has the dscor() function, which estimates the Pearson or Spearman correlation for a set of
variables, and test correlations using the t test. The package also provides the function dplot()
to observe a set of quantitative variables on a scatter plot and function tables() which tabulates qualitative variables, presented as absolute frequencies and percentage and performing Chi-square and Fisher exact tests.

Author Biography

Emmanuel Arnhold, Escola de Veterinária e Zootecnia, Campus Samambaia, Rodovia Goiânia-Nova Veneza, Caixa Postal 131, CEP 74001-970, Goiânia/GO

Possui graduação em Engenharia Agronômica pela Universidade Federal de Viçosa (2002), Mestrado em Genética e Melhoramento pela Universidade Federal de Viçosa (2004) e Doutorado em Genética e Melhoramento pela Universidade Federal de Viçosa (2006). Foi Professor Adjunto na Universidade Federal do Maranhão (UFMA), no Campus de Ciências Agrárias e Ambientais (CCAA), entre 2006 e 2010. Atualmente é Professor Adjunto III na Universidade Federal de Goiás (UFG). Leciona disciplinas de estatística aplicada a experimentaçãoagropecuária em nível de Graduação e Pós-Graduação. No campo da pesquisa e desenvolvimento tecnológico tem interesse no desenvolvimento de análises estatísticas aplicadas a sistemas agropecuários e biológicos.

References

BEHERA, A.; PANDA, G. K. On the square roots of triangular numbers, The Fibonacci Quarterly, v.37, n.2, p. 98-105. 1999.

LIPTAI, K. Fibonacci balancing numbers, The Fibonacci Quarterly, v.42, n.4, p. 330-340. 2004.

PANDA, G. K.; RAY, P. K. Some links of balancing and cobalancing numbers with Pell and associated Pell numbers, Bulletin of the Institute of Mathematics, Academia Sinica (New Series), v.6, n.1, p. 41-72. 2011.

PANDA, G. K. Some fascinating properties of balancing numbers, in Proc. Eleventh Internat. Conference on Fibonacci Numbers and Their Applications, Cong. Numerantium, 194, p. 185-189. 2009.

RAY, P. K. Application of Chybeshev polynomials in factorization of balancing and Lucas-balancing Numbers, Bol. Soc. Paran. Mat. v.30, n.2, p. 49-56. 2012.

RAY, P. K. Factorization of negatively subscripted balancing and Lucas-balancing numbers,Bol. Soc. Paran. Mat., v.31, n.2, p. 161-173. 2013.

RAY, P. K. Certain matrices associated with balancing and Lucas-balancing numbers, Matematika, v.28, n.1, p. 15-22. 2012.

Published

09-02-2014

How to Cite

Arnhold, E. (2014). Package in R environment to automate descriptive statistics. Sigmae, 3(1), 36–42. Retrieved from https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/142

Issue

Section

Applied Statistics