Clustering data with heatmap algorithm for (Study ST000486)

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:

F1Group:Grass | Species:CD
F2Group:Grass | Species:FP
F3Group:Grass | Species:KP
F4Group:Grass | Species:LP
F5Group:Grass | Species:SH
F6Group:Grass | Species:TA
F7Group:Grass | Species:TP
F8Group:Grass | Species:ZM
F9Group:Tree | Species:AR
F10Group:Tree | Species:AZ
F11Group:Tree | Species:BP
F12Group:Tree | Species:CA
F13Group:Tree | Species:CI
F14Group:Tree | Species:FA
F15Group:Tree | Species:JA
F16Group:Tree | Species:JR
F17Group:Tree | Species:OE
F18Group:Tree | Species:PT
F19Group:Tree | Species:QA
F20Group:Tree | Species:QR
F21Group:Tree | Species:UA
F22Group:Weed | Species:AA
F23Group:Weed | Species:AP
F24Group:Weed | Species:MW
F25Group:Weed | Species:PW
F26Group:Weed | Species:UD
Data matrix
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