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This can be done using the PLOTS= option in PROC PRINCOMP. See the Getting Started example in the PRINCOMP procedure documentation. The following extracts two principal components and produces the plot with variance circles at 50%, 75%, and 100%.
proc princomp data=Crime n=2 plots=pattern(circles=50 75 100);
id State;
run;
This can be done using the PLOTS= option in PROC PRINCOMP. See the Getting Started example in the PRINCOMP procedure documentation. The following extracts two principal components and produces the plot with variance circles at 50%, 75%, and 100%.
proc princomp data=Crime n=2 plots=pattern(circles=50 75 100);
id State;
run;
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
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