Clustering data with heatmap algorithm for (Study ST000416)

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	Treatment:Day1_antiperspirant | Age Range:30-50 | Gender:Female
F2	Treatment:Day1_antiperspirant | Age Range:30-50 | Gender:Male
F3	Treatment:Day1_antiperspirant | Age Range:<30 | Gender:Female
F4	Treatment:Day1_antiperspirant | Age Range:<30 | Gender:Male
F5	Treatment:Day1_antiperspirant | Age Range:>50 | Gender:Female
F6	Treatment:Day1_deodorant | Age Range:30-50 | Gender:Male
F7	Treatment:Day1_deodorant | Age Range:<30 | Gender:Female
F8	Treatment:Day1_deodorant | Age Range:<30 | Gender:Male
F9	Treatment:Day1_deodorant | Age Range:>50 | Gender:Male
F10	Treatment:Day1_noproduct | Age Range:30-50 | Gender:Female
F11	Treatment:Day1_noproduct | Age Range:<30 | Gender:Female
F12	Treatment:Day1_noproduct | Age Range:>50 | Gender:Female
F13	Treatment:Day1_noproduct | Age Range:>50 | Gender:Male
F14	Treatment:Day4_antiperspirant | Age Range:30-50 | Gender:Female
F15	Treatment:Day4_antiperspirant | Age Range:30-50 | Gender:Male
F16	Treatment:Day4_antiperspirant | Age Range:<30 | Gender:Female
F17	Treatment:Day4_antiperspirant | Age Range:<30 | Gender:Male
F18	Treatment:Day4_antiperspirant | Age Range:>50 | Gender:Female
F19	Treatment:Day4_deodorant | Age Range:30-50 | Gender:Male
F20	Treatment:Day4_deodorant | Age Range:<30 | Gender:Female
F21	Treatment:Day4_deodorant | Age Range:<30 | Gender:Male
F22	Treatment:Day4_deodorant | Age Range:>50 | Gender:Male
F23	Treatment:Day4_noproduct | Age Range:30-50 | Gender:Female
F24	Treatment:Day4_noproduct | Age Range:<30 | Gender:Female
F25	Treatment:Day4_noproduct | Age Range:>50 | Gender:Female
F26	Treatment:Day4_noproduct | Age Range:>50 | Gender:Male

Data matrix