ht: Function to plot a heatmap of BIC values.

In MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data

Description

Function to plot a heat map of BIC values where lighter colours indicate larger values and optimal models. A black cross indicates the optimal model.

The function is a modified version of heatmap.

Usage

ht(x, Rowv = NULL, Colv = if (symm) "Rowv" else NULL, distfun = dist,
   hclustfun = hclust, reorderfun = function(d, w) reorder(d, w),
   add.expr, symm = FALSE, revC = identical(Colv, "Rowv"),
   scale = c("row", "column", "none"), na.rm = FALSE, margins = c(5, 5),
   ColSideColors, RowSideColors, cexRow = 1, cexCol = 1, labRow = NULL,
   labCol = NULL, main = NULL, xlab = NULL, ylab = NULL,
   keep.dendro = FALSE, verbose = getOption("verbose"), q, g)

Arguments

See the help file for heatmap.

Details

This function is used internally in mppca.metabol.

Value

See the help file for heatmap.

Note

An internal function.

Author(s)

Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan

References

Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical report. University College Dublin, Ireland.

See Also

mppca.metabol

MetabolAnalyze documentation built on Aug. 31, 2019, 5:05 p.m.