mpg 如 a叫 #nbr.val 32.000000032.000000032.000000032.00000000 nbr.null 0.0000000 0.0000000 0.000000019.00000000 ##nbr.na 0.0000000 0.0000000 0.00000000.00000000 #min 10.4000000 52.0000000 1.51300000.00000000 ##max 33.9000000 335.0000000 5.4240000 1.00000000 ##range 23.5000000283.0000000 3.91100001.00000000 642.90000004694.0000000 102.952000013.00000000 #median 19.2000000123.0000000 3.32500000.00000000 #mean 20.0906250 146.6875000 3.21725000.40625000 #SE.mean 1.0654240 12.1203173 0.17296850.08820997 #样C.mean.0.95 2.1729465 24.7195501 0.35277150.17990541 ##var 36.32410284700.8669355 0.95737900.24899194 ##std.dev 6.0269481 68.5628685 0.97845740.49899092 ##coef.var 0.2999881 0.4674077 0.3041285 1.22828533 #desc=T计算一些描述值，例如中位数、分位数等等 stat.desc(myvars,norm-T) ## mpg hp am ##nbr.val 32.0000000 32.0000000032.000000003.200000e+01 #nbr.null 0.0000000 0.00000000 0.00000000 1.900000e+01 ##nbr.na 0.0000000 0.00000000 0.000000000.000000e+00 #min 10.4000000 52.00000000 1.51300000 0.000000e+00 ##max 33.9000000335.00000000 5.424000001.000000e+00 ##range 23.5000000 283.00000000 3.911000001.000000e+00 #sum 642.90000004694.00000000102.952000001.300000e+01 #median 19.2000000 123.00000000 3.325000000.000000e+00 ##mean 20.0906250 146.68750000 3.217250004.062500e-01 ##SE.mean 1.0654240 12.12031731 0.172968478.820997e-02 #CI.mean.0.95 2.1729465 24.71955013 0.352771531.799054e-01 #排Var 36.32410284700.86693548 0.957378972.489919e-01 ##std.dev 6.0269481 68.56286849 0.97845744 4.989909e-01 #coef.var 0.2999881 0.46740771 0.304128511.228285e+00 #skewness 0.6106550 0.72602366 0.423146463.640159e-01 ##skew.2SE 0.7366922 0.87587259 0.510482524.391476e-01 ##kurtosis 0.3727660 -0.13555112 -0.02271075-1.924741e+00 ##kurt.2SE -0.2302812 -0.08373853 -0.01402987-1.189035e+00 #normtest.W 0.9475647 0.933419340.943257726.2507449-01 ## mpg hp wt am ## nbr.val 32.0000000 32.0000000 32.0000000 32.00000000 ## nbr.null 0.0000000 0.0000000 0.0000000 19.00000000 ## nbr.na 0.0000000 0.0000000 0.0000000 0.00000000 ## min 10.4000000 52.0000000 1.5130000 0.00000000 ## max 33.9000000 335.0000000 5.4240000 1.00000000 ## range 23.5000000 283.0000000 3.9110000 1.00000000 ## sum 642.9000000 4694.0000000 102.9520000 13.00000000 ## median 19.2000000 123.0000000 3.3250000 0.00000000 ## mean 20.0906250 146.6875000 3.2172500 0.40625000 ## SE.mean 1.0654240 12.1203173 0.1729685 0.08820997 ## CI.mean.0.95 2.1729465 24.7195501 0.3527715 0.17990541 ## var 36.3241028 4700.8669355 0.9573790 0.24899194 ## std.dev 6.0269481 68.5628685 0.9784574 0.49899092 ## coef.var 0.2999881 0.4674077 0.3041285 1.22828533 #desc=T 计算一些描述值，例如中位数、分位数等等 stat.desc(myvars,norm=T) ## mpg hp wt am ## nbr.val 32.0000000 32.00000000 32.00000000 3.200000e+01 ## nbr.null 0.0000000 0.00000000 0.00000000 1.900000e+01 ## nbr.na 0.0000000 0.00000000 0.00000000 0.000000e+00 ## min 10.4000000 52.00000000 1.51300000 0.000000e+00 ## max 33.9000000 335.00000000 5.42400000 1.000000e+00 ## range 23.5000000 283.00000000 3.91100000 1.000000e+00 ## sum 642.9000000 4694.00000000 102.95200000 1.300000e+01 ## median 19.2000000 123.00000000 3.32500000 0.000000e+00 ## mean 20.0906250 146.68750000 3.21725000 4.062500e-01 ## SE.mean 1.0654240 12.12031731 0.17296847 8.820997e-02 ## CI.mean.0.95 2.1729465 24.71955013 0.35277153 1.799054e-01 ## var 36.3241028 4700.86693548 0.95737897 2.489919e-01 ## std.dev 6.0269481 68.56286849 0.97845744 4.989909e-01 ## coef.var 0.2999881 0.46740771 0.30412851 1.228285e+00 ## skewness 0.6106550 0.72602366 0.42314646 3.640159e-01 ## skew.2SE 0.7366922 0.87587259 0.51048252 4.391476e-01 ## kurtosis -0.3727660 -0.13555112 -0.02271075 -1.924741e+00 ## kurt.2SE -0.2302812 -0.08373853 -0.01402987 -1.189035e+00 ## normtest.W 0.9475647 0.93341934 0.94325772 6.250744e-01 4