SAS, single-factor model. Child physical measurements.

Investigate: sex effect on height, chest, mid-upper arm circumference amongst 2-yrs-old children.

Datasets.sas

data measures; /*2-yrs-old child data*/

input sex $ height chest muac; /*MUAC: Mid-Upper Arm Circumference*/

cards;

M 78 60.6 16.5

M 76 58.1 12.5

M 92 63.2 14.5

M 81 59.0 14.0

M 81 60.8 15.5

M 84 59.5 14.0

F 80 58.4 14.0

F 75 59.2 15.0

F 78 60.3 15.0

F 75 57.4 13.0

F 79 59.5 14.0

F 78 58.1 14.5

F 75 58.0 12.5

F 64 55.5 11.0

F 80 59.2 12.5

;

run;

Analysis_phyicalTest.sas

%include "/home/u60665181/SAS Revision/GLM/Datasets.sas";

/*pool=test: Test of Homogeneity of Within Covariance Matrices*/

proc discrim data=measures pool=test short;

class sex;

var height chest muac;

run;

The two populations (Male, Female) shares the same covariance matrix.

/*Test passed. Then perform MANOVA on sex factor.*/

proc glm data=measures;

class sex;

model height chest muac = sex/ nouni;

"M Anova on sex factor": manova H=sex;

"M Anova on sex factor (equivalence)": manova H=sex M=height, chest, muac;

run;

MANOVA on sex: No sex effect on responses. i.e. No differences in (height, chest, muac) measures amongst male and female in the sample.