ht {MetabolAnalyze} | R Documentation |
Function to plot a heatmap of BIC values.
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
[Package MetabolAnalyze version 1.3.1 Index]