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$ Girth : num
8.3 8.6 8.8 10.5 10.7 10.8 11 11 11.1 11.2 ...
$ Height: num
70 65 63 72 81 83 66 75 80 75 ...
$ Volume: num
10.3 10.3 10.2 16.4 18.8 19.7 15.6 18.2 22.6 19.9 ...
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mtcars
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cyl 6 6 4 6 8
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rownames(mtcars) 1:5] 1] "Mazda RX4" "Mazda RX4 Wag" "Datsun 710" 4] "Hornet 4 Drive" "Hornet Sportabout" >
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names(mtcars) 1] "mpg" "cyl" "disp" "hp" "drat" "wt" "qsec" "vs" "am" "gear" 11] "carb" >
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test - matrix(rnorm(21),7,3) test - data.frame(test) test X1 X2 X3 1 -0.9247492 0.18698082 -1.39943435 2 -0.6256957 0.86310566 0.91401401 3 -0.3338215 -0.74399557 0.08866272 4 0.7411739 -0.61656031 0.18208417 5 0.3436381 -0.64038437 -0.76397593 6 -1.0379184 -0.49068270 0.21339323 7 -0.5624376 -0.01380767 -1.69015277
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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
Series 1 -0.39579521 -0.36649473 -0.40674973 0.32428545 0.55310221 -1.03032817 0.70500090 -1.47332244 0.58314662 1.55713060 0.74596283 0.16404647 -0.03516499 -0.18482688 -1.16434845
1987 1987 1987 1987 1987 1987 1987 1987 1987 1987 1987 1987 1988 1988 1988
1
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package beta beta shape1, shape2 -, stat binomial binom size, prob -, stat Cauchy chauchy location, scale 0, 1 stat 2 chisq df, ncp -, 0 stat Dirichlet dirichlet alpha MCMCpack exponential exp rate 1 stat F f df1, df2, ncp -, -, stat gamma gamma shape, rate, scale -, 1, 1/rate stat geometric geom prob stat Generalized Extreme Value gev xi,mu,sigma -, -, evir Generalized Pareto gpd xi,mu,beta -, -, evir hypergeometric hyper m, n, k -, -, stat Inverse Gamma invgamma shape,rate -, MCMCpack Inverse Wishart iwish v, S -, MCMCpack logistic logis location, scale 0, 1 stat lognormal lnorm meanlog, sdlog 0, 1 stat Multinomial multinom size, prob -, stat lognormal lnorm meanlog, sdlog 0, 1 stat Multivariate Normal mvnorm mean,sigma -, mvtnorm Multivariate-t mvt sigma,df -, mvtnorm negative binomial nbinom size, prob, mu -, -, stat nomal norm mean, sd 0,1 stat Poisson pois lambda stat 'Student' (t) t df, ncp -, 0 stat Weibull weibull shape, scale -, 1 stat uniform unif min, max 0,1 stat Wilcoxon wilcoxon m, n -, stat Wishart wish v, S -, MCMCpack C R = w |r xDU = x = w_v ( `} RwD
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0.0
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0.1
0.4
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PDF’s Normal
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<
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Sample Quantiles
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−3
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1] Crawley, Micheal J., (2007) The R Book, John Wiley & Sons Ltd, 942p. 2] Longhow Lam, (2008) An introduction to R, Business 212p.
&
Decision Amsterdam,
3] Maindonald J. H., (2008) Using R for Data Analysis and Graphics Introduction, Code and Commentary, Centre for Mathematics and Its Applications, Australian National University., 96p. 4] Paradis E., (2005) R for Beginners, Institut des Sciences de l' Evolution Universite Montpellier II France, 76p. 5] Rossiter D. G., (2007) Introduction to the R Project for Statistical Computing for use at ITC, International Institute for Geo-information Science & Earth Observation Enschede (NL), 143p. 6] Seefeld, K., Linder, E., (2007) Statistics Using R with Biological Examples, University of New Hampshire, Durham, NH Department of Mathematics & Statistics, 325p. 7] Verzani John simpleR - Using R for Introductory Statistics, 114p.
