Clustering data with heatmap algorithm for (Study ST002788)

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:

F1Sample_type:Blank | Station:NA | Depth:NA | Absolute_depth:NA | Sea_level_anomaly:NA
F2Sample_type:QC Pooled | Station:NA | Depth:NA | Absolute_depth:NA | Sea_level_anomaly:NA
F3Sample_type:Sample | Station:62 | Depth:DCM | Absolute_depth:98 | Sea_level_anomaly:-13.6
F4Sample_type:Sample | Station:62 | Depth:Surface | Absolute_depth:25 | Sea_level_anomaly:-12.48
F5Sample_type:Sample | Station:64 | Depth:DCM | Absolute_depth:115 | Sea_level_anomaly:-12.1225
F6Sample_type:Sample | Station:64 | Depth:Surface | Absolute_depth:25 | Sea_level_anomaly:-12.48
F7Sample_type:Sample | Station:77 | Depth:DCM | Absolute_depth:125 | Sea_level_anomaly:19.87
F8Sample_type:Sample | Station:77 | Depth:Surface | Absolute_depth:25 | Sea_level_anomaly:20.8044
F9Sample_type:Sample | Station:80 | Depth:DCM | Absolute_depth:120 | Sea_level_anomaly:21.03
F10Sample_type:Sample | Station:80 | Depth:Surface | Absolute_depth:25 | Sea_level_anomaly:20.8044
F11Sample_type:Standard mix | Station:NA | Depth:NA | Absolute_depth:NA | Sea_level_anomaly:NA
Data matrix
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