plotFeatPerform {TarSeqQC} | R Documentation |
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.
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)
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. |
ggplot2 graphics
see full example in TargetExperiment-class
Gabriela A. Merino gmerino@bdmg.com.ar, Cristobal Fresno cfresno@bdmg.com.ar, Yanina Murua ymurua@leloir.org.ar, Andrea S. Llera allera@leloir.org.ar and Elmer A. Fernandez efernandez@bdmg.com.ar
## 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 }