Clustering data with heatmap algorithm for (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:

F1Temperature:Both hot day and hot night | Days after pollination:14
F2Temperature:Both hot day and hot night | Days after pollination:18
F3Temperature:Both hot day and hot night | Days after pollination:22
F4Temperature:Both hot day and hot night | Days after pollination:26
F5Temperature:Both hot day and hot night | Days after pollination:30
F6Temperature:Control | Days after pollination:14
F7Temperature:Control | Days after pollination:18
F8Temperature:Control | Days after pollination:22
F9Temperature:Control | Days after pollination:26
F10Temperature:Control | Days after pollination:30
F11Temperature:Hot day | Days after pollination:14
F12Temperature:Hot day | Days after pollination:18
F13Temperature:Hot day | Days after pollination:22
F14Temperature:Hot day | Days after pollination:26
F15Temperature:Hot day | Days after pollination:30
Data matrix
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