Clustering data with heatmap algorithm for (Study ST002492)

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	Species:Apple | Variety:Gala
F2	Species:Banana | Variety:Cavendish
F3	Species:Basil | Variety:Sweet
F4	Species:Black bean | Variety:Black Turtle
F5	Species:Carrot | Variety:Imperator
F6	Species:Chickpeas | Variety:Kabuli
F7	Species:Corn | Variety:Dent bicolor
F8	Species:Garlic | Variety:Softneck
F9	Species:Lettuce | Variety:Iceberg
F10	Species:Olives | Variety:Manzanillo
F11	Species:Onion | Variety:Yellow
F12	Species:Peach | Variety:Yellow
F13	Species:Pear | Variety:Green Anjou
F14	Species:Pepper | Variety:Bell
F15	Species:Potato | Variety:Russet
F16	Species:Soybean | Variety:Yellow
F17	Species:Spinach | Variety:Bloomsdale
F18	Species:Strawberry | Variety:Honeoye
F19	Species:Sugarbeet | Variety:Detroit Red
F20	Species:Tomato | Variety:Globe Type

Data matrix