1 / 16

>> load arch >> x= arch (1:63,:); >> [ ax,mx,stdx ]=auto(x); >> subplot (2,2,1), plot (x)

>> load arch >> x= arch (1:63,:); >> [ ax,mx,stdx ]=auto(x); >> subplot (2,2,1), plot (x) >> subplot (2,2,2), plot (x') >> subplot (2,2,3), plot ( ax ) >> subplot (2,2,4), plot ( ax '). plot (x). plot (x’). plot ( ax ’). plot ( ax ). boxplot (x). boxplot (x').

avon
Download Presentation

>> load arch >> x= arch (1:63,:); >> [ ax,mx,stdx ]=auto(x); >> subplot (2,2,1), plot (x)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. >> load arch >> x=arch(1:63,:); >> [ax,mx,stdx]=auto(x); >> subplot(2,2,1),plot(x) >> subplot(2,2,2),plot(x') >> subplot(2,2,3),plot(ax) >> subplot(2,2,4),plot(ax')

  2. plot(x) plot(x’) plot(ax’) plot(ax)

  3. boxplot(x)

  4. boxplot(x')

  5. PercentVarianceCapturedby PCA Model Principal Eigenvalue % Variance % Variance Component of CapturedCaptured NumberCov(X) This PC Total --------- ---------- ---------- ---------- 1 5.34e+00 53.41 53.41 2 2.11e+00 21.12 74.53 3 1.10e+00 10.96 85.50 4 8.33e-01 8.33 93.83 5 2.55e-01 2.55 96.38 6 1.40e-01 1.40 97.78 7 1.00e-01 1.00 98.78 8 5.66e-02 0.57 99.35 9 3.61e-02 0.36 99.71 10 2.94e-02 0.29 100.00

  6. >> rx=scale(arch,mx,stdx); >> [newscores,resids,tsqs] = pcapro(rx,loads,ssq,reslm,tsqlm,1); >> >> pltscrs(newscores,samps,class)

More Related