Clustering data with heatmap algorithm for (Study ST001397)

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:

F1Litter:10 | Day after birth:1
F2Litter:10 | Day after birth:14
F3Litter:10 | Day after birth:21
F4Litter:10 | Day after birth:28
F5Litter:10 | Day after birth:56
F6Litter:10 | Day after birth:7
F7Litter:11 | Day after birth:1
F8Litter:11 | Day after birth:14
F9Litter:11 | Day after birth:21
F10Litter:11 | Day after birth:28
F11Litter:11 | Day after birth:56
F12Litter:11 | Day after birth:7
F13Litter:7 | Day after birth:14
F14Litter:7 | Day after birth:21
F15Litter:7 | Day after birth:28
F16Litter:7 | Day after birth:56
F17Litter:7 | Day after birth:7
F18Litter:8 | Day after birth:14
F19Litter:8 | Day after birth:21
F20Litter:8 | Day after birth:28
F21Litter:8 | Day after birth:56
F22Litter:8 | Day after birth:7
F23Litter:9 | Day after birth:1
F24Litter:9 | Day after birth:14
F25Litter:9 | Day after birth:21
F26Litter:9 | Day after birth:28
F27Litter:9 | Day after birth:56
F28Litter:9 | Day after birth:7
Data matrix
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