propr package!To learn more about how to calculate metrics of proportionality,
see the help file for the method definitions phit
and perb.
To learn more about the resultant propr class object, see
the help file for the class definition propr-class.
To learn more about compositional data analysis, and its relevance to biological count data, see the attached vignette.
To learn more about propr class methods, see below.
"show"(object)
"subset"(x, subset, select)
"["(x, i, j, drop)
"$"(x, name)
"plot"(x, y, title = "Pairwise Proportionality")
"image"(x, cexRow = 10, cexCol = 10, title = "*LR Transformed Image")
dendrogram(object, title = "Proportional Clusters", group)propr.object@counts[subset, ].
Use this argument to rearrange subject order.object@counts[, select].
Use this argument to rearrange feature order.object@pairs[i, j, drop].object@pairs[, name].propr plot.@counts.show: Method to show propr object. subset: Method to subset propr object. [: Method to subset propr object. $: Method to subset propr object. plot: Method to plot propr object. image: Method to plot propr object. plot: Method to plot propr object.