The genetics Package

30 makeGenotypesDetailsValueThe functions makeGenotypes and makeHaplotypes allow the conversion of all of the genetic variablesin a dataset to genotypes or haplotypes in a single step.The parameter convert may be missing, a vector of column names, indexes or true/false indictators,or a list of column name or index pairs.When the argument convert is not provided, the function will look for columns where at leasttol*100% of the records contain the separator character sep (’/’ by default). These columns willthen be assumed to contain both of the genotype/haplotype alleles and will be converted in-place togenotype variables.When the argument convert is a vector of column names, indexes or true/false indictators, thecorresponding columns will be assumed to contain both of the genotype/haplotype alleles and willbe converted in-place to genotype variables.When the argument convert is a list containing column name or index pairs, the two elementsof each pair will be assumed to contain the individual alleles of a genotype/haplotype. The firstcolumn specified in each pair will be replaced with the new genotype/haplotype variable namedname1 + sep + name2. The second column will be removed.Note that the method argument may be used to supply a non-standard conversion function, suchas as.genotype.allele.count, which converts from [0,1,2] to [’A/A’,’A/B’,’A/C’] (or thespecified allele names). See the example below.All other variables will be un-Dataframe containing converted genotype/haplotype variables.changed.Author(s)Gregory R. Warnes 〈warnes@bst.rochester.edu 〉See AlsogenotypeExamples## Not run:# common casedata