##读取数据,求财务指标间的相关系数矩阵

case7.1<-read.csv("C:\\Users\\86167\\Desktop\\课堂练习07_case7.1.csv")
data<-case7.1[, -1]
name<-case7.1[,1]
da<-scale(data)
dat<-cor(da)
print(dat)
##              x1           x2          x3         x4         x5           x6
## x1   1.00000000  0.608661931  0.58947060 0.09053822 -0.2843693 -0.069306629
## x2   0.60866193  1.000000000  0.92147919 0.24088930 -0.1316852  0.007508128
## x3   0.58947060  0.921479190  1.00000000 0.21192221 -0.2129252 -0.039329247
## x4   0.09053822  0.240889296  0.21192221 1.00000000  0.6776357  0.855226472
## x5  -0.28436926 -0.131685164 -0.21292519 0.67763574  1.0000000  0.851567015
## x6  -0.06930663  0.007508128 -0.03932925 0.85522647  0.8515670  1.000000000
## x7   0.01364721  0.236915648  0.15475471 0.82195700  0.7697468  0.896056873
## x8   0.26189269  0.506892663  0.44369218 0.82052037  0.5694569  0.732129001
## x9   0.24549351  0.238633994  0.15593649 0.52917899  0.4828813  0.637953909
## x10  0.23735981  0.244965246  0.15212406 0.55578193  0.5226647  0.660032176
## x11  0.29673784  0.305663291  0.27768545 0.51170635  0.3286049  0.539324412
## x12  0.20859956  0.149535772  0.12208860 0.38518366  0.3278747  0.455056527
##             x7        x8        x9       x10       x11       x12
## x1  0.01364721 0.2618927 0.2454935 0.2373598 0.2967378 0.2085996
## x2  0.23691565 0.5068927 0.2386340 0.2449652 0.3056633 0.1495358
## x3  0.15475471 0.4436922 0.1559365 0.1521241 0.2776855 0.1220886
## x4  0.82195700 0.8205204 0.5291790 0.5557819 0.5117063 0.3851837
## x5  0.76974677 0.5694569 0.4828813 0.5226647 0.3286049 0.3278747
## x6  0.89605687 0.7321290 0.6379539 0.6600322 0.5393244 0.4550565
## x7  1.00000000 0.8738672 0.6546178 0.6649649 0.5690159 0.3808832
## x8  0.87386720 1.0000000 0.6796509 0.7062190 0.6517245 0.4093588
## x9  0.65461779 0.6796509 1.0000000 0.9847536 0.9230638 0.8459829
## x10 0.66496486 0.7062190 0.9847536 1.0000000 0.8954067 0.8291282
## x11 0.56901593 0.6517245 0.9230638 0.8954067 1.0000000 0.8004992
## x12 0.38088318 0.4093588 0.8459829 0.8291282 0.8004992 1.0000000