Clustering data with heatmap algorithm for (Study ST000250)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment

The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1	HIV status:negative | Obesity:Yes | Sex:F | Race:B
F2	HIV status:negative | Obesity:Yes | Sex:F | Race:W
F3	HIV status:negative | Obesity:Yes | Sex:M | Race:B
F4	HIV status:negative | Obesity:Yes | Sex:M | Race:W
F5	HIV status:positive | Obesity:No | Sex:F | Race:B
F6	HIV status:positive | Obesity:No | Sex:F | Race:W
F7	HIV status:positive | Obesity:No | Sex:M | Race:B
F8	HIV status:positive | Obesity:No | Sex:M | Race:O
F9	HIV status:positive | Obesity:No | Sex:M | Race:W
F10	HIV status:positive | Obesity:Yes | Sex:F | Race:B
F11	HIV status:positive | Obesity:Yes | Sex:F | Race:W
F12	HIV status:positive | Obesity:Yes | Sex:M | Race:B
F13	HIV status:positive | Obesity:Yes | Sex:M | Race:O
F14	HIV status:positive | Obesity:Yes | Sex:M | Race:W

Data matrix