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.