Function to plot a heatmap of BIC values.

Share:

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

1
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

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.