| DrawDistriHistBox | R Documentation |
Return a line-plot describing the cumulative length of contigs (ordered from largest to smallest contig).
DrawDistriHistBox( nParam, cGraphName, cParamName, lTrimOutliers = FALSE, nXLimits = NULL )
nParam |
A numeric vector containing the parameter values to be plotted. |
cGraphName |
The graph name to be displayed on top of the plot. |
cParamName |
The name of the parameter to be displayed below the x-axis. |
lTrimOutliers |
If TRUE, remove the outliers from the boxplot and trim the histogram to the borders of the boxplot. Defaults to FALSE. |
nXLimits |
A numeric vector giving the limits of the plot on the x-axis. If NULL, the limits will be set to the minimum and the maximum of the nParam data (or to the inner fences (1.5*Interquartile Range) of the boxplot if lTrimmingOutliers is TRUE). Defaults to NULL. |
# loading genome
myGenome <- Biostrings::readDNAStringSet(system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia_mac_51_sca171819.fa"
))
# Preparing a gposPacBioCSV dataset
myGposPacBioCSV <-
ImportPacBioCSV(
cPacBioCSVPath = system.file(
package = "DNAModAnnot", "extdata",
"ptetraurelia.bases.sca171819.csv"
),
cSelectColumnsToExtract = c(
"refName", "tpl", "strand", "base",
"score", "ipdRatio", "coverage"
),
lKeepExtraColumnsInGPos = TRUE, lSortGPos = TRUE,
cContigToBeAnalyzed = names(myGenome)
)
DrawDistriHistBox(head(myGposPacBioCSV$coverage, 100000),
cGraphName = "Coverage distribution of some bases sequenced",
cParamName = "Coverage",
lTrimOutliers = TRUE
)
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