Select Your Region
Americas
Europe
Middle East & Africa
Asia Pacific
![]() |
/*****************************************************************/ /* S A S S A M P L E L I B R A R Y */ /* */ /* NAME: MVPMNEX3 */ /* TITLE: Comparing Univariate and Multivariate Control Charts */ /* PRODUCT: QC */ /* SYSTEM: ALL */ /* KEYS: SERIES statement */ /* PROCS: MVPMONITOR */ /* DATA: */ /* */ /* SUPPORT: saswgr */ /* REF: PROC MVPMONITOR, Example 3 */ /* */ /*****************************************************************/ proc iml; Mean = {0,0,0}; Cor = {1.0 0.8 0.8, 0.8 1.0 0.8, 0.8 0.8 1.0}; StdDevs = {2 2 2}; D = diag(StdDevs); Cov = D*Cor*D; /* covariance matrix */ NumSamples = 30; call randseed(123321); /* set seed for the RandNormal module */ X = RandNormal(NumSamples, Mean, Cov); varnames = { x1 x2 x3}; create mvpStable from X [colname = varnames]; append from X; quit; run; data mvpStable; set mvpStable; hour=_n_; run; proc iml; Mean = {0,0,0}; Cor = { 1.0 -0.8 0.8, -0.8 1.0 -0.8, 0.8 -0.8 1.0}; StdDevs = {2 2 2}; D = diag(StdDevs); Cov = D*Cor*D; /* covariance matrix */ NumSamples = 5; call randseed(123321); /* set seed for the RandNormal module */ X = RandNormal(NumSamples, Mean, Cov); varnames = { x1 x2 x3}; create mvpOOC from X [colname = varnames]; append from X; quit; run; data mvpOOC; set mvpStable mvpOOC; hour=_n_; run; proc mvpmodel data=mvpStable ncomp=1 plots=none out=scores outloadings=loadings; var x1 x2 x3; run; proc mvpmonitor data=mvpOOC loadings=loadings; time hour; tsquarechart; spechart; run; proc shewhart data=mvpOOC; irchart (x1 x2 x3) * hour / markers nochart2; run;