Description Usage Arguments Details Value References Examples
Display cluster plots and heat maps.
1 | GraphsClust(data, name, groupnames, tsf = "clr", QCs = TRUE)
|
data |
Data table with variables (metabolites) in columns. Samples in rows are sorted according to specific groups. |
name |
A character string or expression indicating a name of data set. It occurs in names of every output. |
groupnames |
A character vector defining specific groups in data. Every string must be specific for each group and they must not overlap. |
tsf |
Data transformation must be defined by "clr" (default), "log", "log10", "PQN", "lnPQN", "pareto" or "none". See Details. |
QCs |
logical. If TRUE (default) quality control samples (QCs) are automatically distinguished. See Details. |
Data transformation: with "clr" clr trasformation is used (see References), with "log" natural logarithm is used, with "log10" decadic logarithm is used, with "pareto" data are only scaled by Pareto scaling, with "PQN" probabilistic quotient normalization is done, with "lnPQN" natural logarithm of PQN transformed data is done, with "none" no tranformation is done.
Up to twenty different groups can be distinguished in data (including QCs).
If quality control samples (QCs) are present in data and QCs=TRUE, versions with QCs and without them are displayed. If QCs=TRUE and QCs are not present in data, this step is automatically skipped.
Cluster plots and heat maps.
Aitchison, J. (1986) The Statistical Analysis of Compositional Data Monographs on Statistics and Applied Probability. Chapman & Hall Ltd., London (UK). p. 416.
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