annHeatmap2(x, dendrogram, annotation, cluster, labels,
scale = c("row", "col", "none"), breaks=256, col = g2r.colors,
legend = FALSE)x is standardized (by row, by column or not at all). This affects only display, not dendrograms or clusteringx; either a vector of explicit interval breaks, or just the desired number of intervals. See niceBreaks for details.breakColors.TRUE, a legend is placed in a position determined by the function to be suitable; alternatively, integer values 1-4 indicate the side where the legend is to be drawn; and FALSE indicates that no legend should be drawn.annHeatmap. Use plot to display it graphically.scale, breaks, col and legend control different aspects of the whole plot directly as described. Arguments dendrogram, annotation, cluster and labels control aspects that may differ for the rows and columns of the central heatmap and have a special structure: each is a named list with different entries controling e.g. the look of a dendrogram, the data for annotation etc. Additionally, they can contain two extra entries called simply Row and Col; these are again named lists that can contain all the same entries as the parent list. Entries specified directly in the list apply to both rows and columns; entries specified as part of Row or Col override these defaults for the rows or columns only.
Recognized parameters for argument dendrogram:
[object Object],[object Object],[object Object],[object Object],[object Object]
Recognized entries for argument annotation:
[object Object],[object Object],[object Object],[object Object]
Recognized entries for argument cluster:
[object Object],[object Object],[object Object],[object Object] Recognized entries for argument labels:
[object Object],[object Object],[object Object],[object Object]
heatmapLayout, niceBreaks, breakColors, g2r.colorsrequire(Biobase)
data(sample.ExpressionSet)
ex1 = sample.ExpressionSet[51:85,]
map1 = annHeatmap2(exprs(ex1), ann=list(Col=list(data=pData(ex1))),
cluster=list(Col=list(cuth=3000)))
plot(map1)Run the code above in your browser using DataLab