mapStats: Process mapping statistics

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/Annotations.R

Description

Using a data frame containing mapping statistics in counts, transform the data in percentages that can be used for stacked barplots.

Usage

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mapStats(libs, scope, group = "default", facet = NULL,
  normalise = TRUE)

Arguments

libs

A data frame with containing columns required by the scope chosen.

scope

The name of a “scope”, that defines which data is plotted and how it is normalised, or a function that implements a custom scope. See mapStatsScopes() for details on each scope.

group

A vector of factors defining groups in the data. By default, the “group” column of the “libs” table.

facet

A vector of factors defining facets in the data (in the sense of ggplot2's facet_wrap function).

normalise

Whether to normalise or not. Default: TRUE.

Details

See the plotAnnot vignette and the mapStatsScopes() help page for details on what the scopes are.

See http://stackoverflow.com/questions/10417003/stacked-barplot-with-errorbars-using-ggplot2 about stacked barplot.

Value

Returns a data frame with mean and standard deviation of normalised mapping statistics, plus absolute positions for the error bars. The first column, group, is a vector of factors sorted with the gtools::mixedorder() function. The facet column, if any, is always called facet.

Author(s)

Charles Plessy

See Also

plotAnnot, mapStatsScopes

Examples

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library(SummarizedExperiment)
CAGEr:::mapStats(as.data.frame(colData(exampleCAGEexp)), "counts", sampleLabels(exampleCAGEexp))
CAGEr:::mapStats(as.data.frame(colData(exampleCAGEexp)), "counts", c("A", "A", "B", "B", "C"))

CAGEr documentation built on July 16, 2020, 2 a.m.