************ mostAbundant ************ .. container:: ============ =============== mostAbundant R Documentation ============ =============== .. rubric:: Get the N most abundant rows (or columns) from a numeric table :name: mostAbundant .. rubric:: Description :name: description Return a subset of an input matrix or data frame, containing only the N most abundant rows (or columns), sorted. Alternatively, a custom set of rows can be returned. .. rubric:: Usage :name: usage .. code:: R mostAbundant( data, N = 10, items = NULL, others = FALSE, rescale = FALSE, bycol = FALSE ) .. rubric:: Arguments :name: arguments +-------------+-------------------------------------------------------+ | ``data`` | numeric matrix or data frame | +-------------+-------------------------------------------------------+ | ``N`` | integer Number of rows to return (default ``10``). | +-------------+-------------------------------------------------------+ | ``items`` | Character vector. Custom row names to return. If | | | provided, it will override ``N`` (default ``NULL``). | +-------------+-------------------------------------------------------+ | ``others`` | logical. If ``TRUE``, an extra row will be returned | | | containing the aggregated abundances of the elements | | | not selected with ``N`` or ``items`` (default | | | ``FALSE``). | +-------------+-------------------------------------------------------+ | ``rescale`` | logical. Scale result to percentages column-wise | | | (default ``FALSE``). | +-------------+-------------------------------------------------------+ | ``bycol`` | logical. Operate on columns instead of rows (default | | | ``FALSE``). | +-------------+-------------------------------------------------------+ .. rubric:: Value :name: value A matrix or data frame (same as input) with the selected rows (or columns). .. rubric:: Examples :name: examples .. code:: R data(Hadza) Hadza.carb = subsetFun(Hadza, "Carbohydrate metabolism") # Which are the 20 most abundant KEGG functions in the ORFs related to carbohydrate metabolism? topCarb = mostAbundant(Hadza.carb$functions$KEGG$tpm, N=20) # Now print them with nice names. rownames(topCarb) = paste(rownames(topCarb), Hadza.carb$misc$KEGG_names[rownames(topCarb)], sep="; ") topCarb # We can pass this to any R function. heatmap(topCarb) # But for convenience we provide wrappers for plotting ggplot2 heatmaps and barplots. plotHeatmap(topCarb, label_y="TPM") plotBars(topCarb, label_y="TPM")