stata统计分析与应用有错误 - Stata专版

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我主沉浮之天地

发表于 2016-12-5 20:05:10 |AI写论文

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我想问一下stata统计分析与应用（修订版）这本书的第341页上面的例13-3是不是错了请知道了指点一下谢谢！

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蓝色查看完整内容

是错了就是帮助文件里面的例子不过知道命令是做什么的就够了 . sysuse auto (1978 Automobile Data) . pca trunk weight length headroom Principal components/correlation Number of obs = 74 Number of comp. = 4 Trace = 4 Rotation: ( ...

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关键词：Stata统计分析与应用统计分析与应用 Stata tata 统计分析统计

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沙发

蓝色 发表于 2016-12-5 20:05:11

是错了就是帮助文件里面的例子
不过知道命令是做什么的就够了

. sysuse auto
(1978 Automobile Data)

. pca trunk weight length headroom

Principal components/correlation                Number of obs =       74
                                                Number of comp.  =       4
                                                Trace          =       4
Rotation: (unrotated = principal)          Rho             = 1.0000

--------------------------------------------------------------------------
   Component | Eigenvalue Difference       Proportion Cumulative
-------------+------------------------------------------------------------
         Comp1 |    3.02027    2.36822          0.7551    0.7551
         Comp2 |    .652053    .37494          0.1630    0.9181
         Comp3 |    .277113    .226551          0.0693    0.9874
         Comp4 |    .0505616          .          0.0126    1.0000
--------------------------------------------------------------------------

Principal components (eigenvectors)

--------------------------------------------------------------------
      Variable | Comp1    Comp2    Comp3    Comp4 | Unexplained
-------------+----------------------------------------+-------------
         trunk | 0.5068 0.2327 -0.8249 0.0921 |          0
      weight | 0.5221 -0.4536 0.2677 0.6708 |          0
      length | 0.5361 -0.3903 0.1370 -0.7358 |          0
      headroom | 0.4280 0.7667 0.4786 -0.0057 |          0
--------------------------------------------------------------------

. estat residuals, fitted

Fitted correlation matrix

----------------------------------------------------------
      Variable |    trunk    weight    length headroom
-------------+--------------------------------------------
         trunk |       1
      weight |  .6722057       1
      length |  .7265956 .9460086       1
      headroom |  .6620111 .4834558 .5162955       1
----------------------------------------------------------

Residual correlation matrix

----------------------------------------------------------
      Variable |    trunk    weight    length headroom
-------------+--------------------------------------------
         trunk |  3.33e-16
      weight |  5.55e-16 3.33e-16
      length |  4.44e-16 2.22e-16 7.77e-16
      headroom |  4.44e-16 5.55e-16 2.22e-16 7.77e-16
----------------------------------------------------------

.

Stata常见问题解答https://bbs.pinggu.org/thread-272681-1-1.html