Clustering data with heatmap algorithm for 2014 Biotron Experiment Metabolites (Study ST000290)

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	Temperature:Both hot day and hot night | Days after pollination:14
F2	Temperature:Both hot day and hot night | Days after pollination:18
F3	Temperature:Both hot day and hot night | Days after pollination:22
F4	Temperature:Both hot day and hot night | Days after pollination:26
F5	Temperature:Both hot day and hot night | Days after pollination:30
F6	Temperature:Control | Days after pollination:14
F7	Temperature:Control | Days after pollination:18
F8	Temperature:Control | Days after pollination:22
F9	Temperature:Control | Days after pollination:26
F10	Temperature:Control | Days after pollination:30
F11	Temperature:Hot day | Days after pollination:14
F12	Temperature:Hot day | Days after pollination:18
F13	Temperature:Hot day | Days after pollination:22
F14	Temperature:Hot day | Days after pollination:26
F15	Temperature:Hot day | Days after pollination:30

Data matrix