SAS Program for Unsupervised Machine Learning - PCA - Biplot

 SAS Program for  Unsupervised Machine Learning - PCA - Biplot

Data PCA_Bip;

Input Region $ Food_D Surv_R Econ_Ap Culture;

cards;

Midwest 20.1 46.5 89.5 44

North 97.2 49.1 5.3 59.25

North_E 44.75 85.2 51.75 44.25

South 20.1 54.5 50.75 85

South_E 20.3 51.5 88.2 63.4

;

Title " PCA - Biplot --> ML Not Supervised";

proc prinqual data=PCA_Bip plots=(MDPref);

   transform identity(Food_D Surv_R Econ_Ap Culture);

   id Region;

   ods select MDPrefPlot;

run;

Original Databanc - Sample of Farms em Each Region

SAS Program to Test Differentiation by Predictor Variables

Data Public;

input Region $ Food_Div Surv_Ris Econ_App Culture;

Cards; 

North 84 56 46 64

North 95 39 62 54

North 90 52 61 62

North 80 40 47 57

South 63 53 61 94

South 59 52 42 82

South 63 56 47 81

South 40 57 53 83

Nort_Eas 46 85 50 58

Nort_Eas 52 82 35 42

Nort_Eas 43 93 57 39

Nort_Eas 38 80 65 38

Midwest 45 38 93 37

Midwest 42 56 93 45

Midwest 46 56 91 52

Midwest 62 36 81 42

Sout_Eas 56 37 86 64

Nort_Eas 56 59 91 64

Nort_Eas 44 53 82 62

Nort_Eas 44 57 93 62

;

Proc Anova;

    Class Region;

    Model Food_Div Surv_Ris Econ_App Culture = Region;

    Means Region / Duncan Lines;

Run;