Clustering data with heatmap algorithm for Interday validation of of developed quantatation method (Study ST001498)

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	Sulfonate after Dilution (ng/mL):0.025
F2	Sulfonate after Dilution (ng/mL):0.5
F3	Sulfonate after Dilution (ng/mL):0.75
F4	Sulfonate after Dilution (ng/mL):1
F5	Sulfonate after Dilution (ng/mL):10
F6	Sulfonate after Dilution (ng/mL):100
F7	Sulfonate after Dilution (ng/mL):1.5
F8	Sulfonate after Dilution (ng/mL):2
F9	Sulfonate after Dilution (ng/mL):20
F10	Sulfonate after Dilution (ng/mL):200
F11	Sulfonate after Dilution (ng/mL):3
F12	Sulfonate after Dilution (ng/mL):300
F13	Sulfonate after Dilution (ng/mL):450
F14	Sulfonate after Dilution (ng/mL):50
F15	Sulfonate after Dilution (ng/mL):6
F16	Sulfonate after Dilution (ng/mL):600

Data matrix