TargetExperiment-plotFeatPerform: Plot feature performance of a TargetExperiment object.

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

Description

plotFeatPerform plots the achieved performance for each feature/gene. The resulting graph shows one bar per each feature/gene with height according to its attribute value. If complete is set as TRUE, two bar plots (feature and gene level) will be stored in the resulting ggplot object.

Usage

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plotFeatPerform(object, attributeThres = c(0, 1, 50, 200, 500, Inf),
    complete = TRUE, log = TRUE, featureLabs = FALSE, sepChr = FALSE,
    legend = TRUE)

## S4 method for signature 'TargetExperiment'
plotFeatPerform(object, attributeThres = c(0, 1,
    50, 200, 500, Inf), complete = TRUE, log = TRUE, featureLabs = FALSE,
    sepChr = FALSE, legend = TRUE)

Arguments

object

TargetExperiment class object.

attributeThres

Numeric indicating the intervals extreme values.

complete

Logical indicating if the gene and feature level exploration should be plotted.

log

Logical indicating if the attribute should be considered in log10 scale.

featureLabs

Logical indicating if feature labels should be plotted.

sepChr

Logical indicating if the plot should show chromosome divisions.

legend

Logical indicating if legend should be plotted.

Value

ggplot2 graphics

Note

see full example in TargetExperiment-class

Author(s)

Gabriela A. Merino [email protected], Cristobal Fresno [email protected], Yanina Murua [email protected], Andrea S. Llera [email protected] and Elmer A. Fernandez [email protected]

See Also

plot

Examples

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## Loading the TargetExperiment object
data(ampliPanel, package="TarSeqQC")

# Definition of the interval extreme values
attributeThres<-c(0,1,50,200,500, Inf)

# Plot panel overview in a feature performance plot
g<-plotFeatPerform(ampliPanel, attributeThres=attributeThres, log=FALSE, 
featureLabs=TRUE, sepChr=TRUE, legend=TRUE)
if(interactive()){
g
}

TarSeqQC documentation built on Nov. 17, 2017, 11:59 a.m.