splitting.data-methods: Split data into subsites
In PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses

Description Usage Arguments Details Value Examples

This generic function splits the data into subsites, if GFF/GTF information is present or if positions are defined accordingly.

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## S4 method for signature 'GENOME'
splitting.data(object,subsites=FALSE,positions=FALSE,type=1,
          whole.data=TRUE)

`object`	an object of class `"GENOME"`
`positions`	list of positions
`subsites`	`"exon"`: SNPs in exon regions. `"intron"`: SNPs in intron regions. `"coding"`: SNPs in coding regions (CDS). `"utr"`: SNPs in UTR regions. `"gene"`: SNPs in genes.
`type`	`1`: SNP positions `2`: Genome positions
`whole.data`	Scan the whole data by concatenating the regions. If FALSE, the regions are scanned seperately

Note, if whole.data=FALSE data with n.biallelic.sites==0 should be removed.

The return value is a modified object of class "GENOME".

# GENOME.class <- readData("\home\Alignments")
# GENOME.class
# GENOME.class.split <- splitting.data(GENOME.class,subsites="exon")
# GENOME.class.split@region.names
# GENOME.class.split <- splitting.data(GENOME.class,positions=list(1:7,8:12))
# GENOME.class.split <- splitting.data(GENOME.class,
# positions=list(2000:3000,12000:13000),type=2)
# GENOME.class.split