RA | R Documentation |
Class for storing reference/alternative (RA) data and methods for performing exporartory data analysis on sequencing data.
## Create RA object RAobj <- readRA(rafile, snpsubset=NULL, sampthres = 0.01, excsamp = NULL) ## RA Functions (Methods) RAobj$extractVar(nameList) RAobj$mergeSamples(samID, useID=TRUE) RAobj$writRA(snpsubset=NULL, indsubset=NULL, file="GUSbase") RAobj$writeVCF(snpsubset=NULL, indsubset=NULL, file="GUSbase", IDuse=NULL)
An RA object is returned from the readRA
function and contains the RA data, various
statistics of the dataset that have been computed, and functions (or methods) for analyzing the data.
A list of the methods that are available to an RA object:
$extractVar
Extract private variables stored in an RA object
$mergeSamples
Merge read counts for different samples
$writeRA
Convert the data in the RA object back to an RA file
$writeVCF
Convert the data in the RA object back to VCF format
new()
RA$new(List)
print()
RA$print(...)
mergeSamples()
RA$mergeSamples(samID, useID = TRUE)
extractVar()
RA$extractVar(nameList)
cometPlot()
RA$cometPlot( ploid = 2, filename = NULL, cex = 1, maxdepth = 500, maxSNPs = 1e+06, res = 300, ind = FALSE, ncores = 1, ... )
rocketPlot()
RA$rocketPlot( ploid = 2, filename = NULL, cex = 1, maxdepth = 500, maxSNPs = 1e+05, res = 300, scaled = TRUE, ... )
RDDPlot()
RA$RDDPlot(ploid = 2, filename = NULL, maxdepth = 500, maxSNPs = 1e+05, ...)
writeVCF()
RA$writeVCF(snpsubset = NULL, indsubset = NULL, file = "GUSbase", IDuse = NULL)
writeRA()
RA$writeRA(snpsubset = NULL, indsubset = NULL, file = "GUSbase")
clone()
The objects of this class are cloneable with this method.
RA$clone(deep = FALSE)
deep
Whether to make a deep clone.
Timothy P. Bilton
readRA
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