group.heatmap(data, is.OTU=TRUE, meta, rank, factors,
top=25, remove.unclassified=TRUE,
stand.method=NULL,
dist.method="bray",
hclust.method="average",
dendro.row.status="yes",
dendro.col.status="hidden",
row.labels=TRUE, row.cex=1,
cut=NULL, file=NULL, ext=NULL,
width=9, height=9)RAM.rank.formatting
for formatting details).RAM.factors).NULL, all are selected.decostand.vegdist.hclust.
This should be unambiguous abbreviation of one of the following:
'ward.D', 'ward.D2', 'single', 'complete', 'average', 'mcquitty',
'median' or 'centroid'.row.labels is TRUE"pdf", "png",
"tiff", "bmp", "jpg", or "svg".brewer.pal indicating "n too large, allowed
maximum for palette Pastel1 is 9" means that the cut height is
too low to allow for that many groups. This should be fixed in a
future release.decostand, annHeatmap2data(ITS1, meta)
library("Heatplus")
library("RColorBrewer")
group.heatmap(ITS1, is.OTU=TRUE, meta=meta, rank="c", factors=c(Crop="Crop",
City="City"), stand.method="chi", dist.method="euc",
hclust.method="mcquitty", cut=0.5)Run the code above in your browser using DataLab