qtl-internal {qtl} | R Documentation |
Internal qtl functions. These are generally not to be called by the user.
addqtl(cross, qtl, add.chr, add.pos, add.name, map) adjust.rf.ri(r, type=c("self","sib"), chrtype=c("A","X"), expand=TRUE) calc.pairprob(cross, step=0, off.end=0, error.prob=0.0001, map.function=c("haldane","kosambi","c-f","morgan"), map) checkcovar(cross, pheno.col, addcovar, intcovar, perm.strata, verbose=TRUE) clean(object) condense(object) convert(object) create.map(map, step, off.end, stepwidth=c("fixed", "variable")) discan(cross, pheno, method=c("em","mr"), addcovar=NULL, intcovar=NULL, maxit=4000, tol=1e-4, verbose=FALSE) dropqtl(qtl, drop) dropXcol(type=c("f2","bc"), sexpgm, cross.attr) fitstahl.estp(cross, error.prob=0.0001, m=0, tol=1e-4, maxit=4000) fitstahl.estp.sub(p, cross, error.prob=0.0001, m=0, thetol=1e-4, maxit=4000) fitstahl.este(cross, m=0, p=0, tol=1e-4, maxit=4000) fitstahl.este.sub(error.prob, cross, m=0, p=0, thetol=1e-4, maxit=4000) fitstahl.estpe(cross, m=0, tol=1e-4, maxit=4000) fitstahl.estpe.sub(x, cross, m=0, thetol=1e-4, maxit=4000) fixX4write(geno,sex,pgm,crosstype) fixXgeno.bc(cross) fixXgeno.f2(cross) getid(cross) getsex(cross) getgenonames(type=c("f2","bc","riself","risib","4way"), chrtype=c("A","X"), expandX=c("simple","standard","full"), sexpgm, cross.attr) grab.arg.names(...) imf.cf(r) imf.h(r) imf.k(r) imf.m(r) imf.stahl(r, m=0, p=0, tol=1e-12, maxit=1000) locatemarker(map, pos, chr, flag) locate.xo(cross) makeSSmap(cross) ## S3 method for class 'scantwocondensed': max(object, lodcolumn=1, what=c("best", "full", "add", "int"), df=FALSE, na.rm=TRUE, ...) mf.cf(d) mf.h(d) mf.k(d) mf.m(d) mf.stahl(d, m=0, p=0) parseformula(formula, qtl.dimname, covar.dimname) ## S3 method for class 'cross': print(x, ...) ## S3 method for class 'map': print(x, ...) ## S3 method for class 'scantwo': print(x, ...) ## S3 method for class 'summary.cross': print(x, ...) ## S3 method for class 'summary.fitqtl': print(x, ...) ## S3 method for class 'summary.map': print(x, ...) ## S3 method for class 'summary.ripple': print(x, ...) ## S3 method for class 'summary.scanone': print(x, ...) ## S3 method for class 'summary.scanoneperm': print(x, ...) ## S3 method for class 'summary.scantwo': print(x, ...) ## S3 method for class 'summary.scantwo.old': print(x, ...) ## S3 method for class 'summary.scantwoperm': print(x, ...) read.cro.qtlcart(file) read.cross.csv(dir, file, na.strings=c("-","NA"), genotypes=c("A","H","B","D","C"), estimate.map=TRUE, rotate=FALSE, ...) read.cross.csvs(dir, genfile, phefile, na.strings=c("-","NA"), genotypes=c("A","H","B","D","C"), estimate.map=TRUE, rotate=FALSE, ...) read.cross.gary(dir, genfile, mnamesfile, chridfile, phefile, pnamesfile, mapfile,estimate.map,na.strings) read.cross.karl(dir, genfile, mapfile, phefile) read.cross.mm(dir, rawfile, mapfile, estimate.map=TRUE) read.cross.qtlcart(dir, crofile, mapfile) read.cross.qtx(dir, file, estimate.map=TRUE) read.map.qtlcart(file) read.maps.mm(mapsfile) replaceqtl(cross, qtl, replace, by.chr, by.pos, by.name, map) revisecovar(sexpgm, covar) revisescantwodf(df) reviseXdata(type=c("f2","bc"), expandX=c("simple","standard","full"), sexpgm, geno, prob, draws, pairprob, cross.attr) ripple.perm1(n) ripple.perm2(n) ripple.perm.sub(x, mat) scanone.perm(cross, pheno.col=1, model=c("normal","binary","2part","np"), method=c("em","imp","hk","ehk","mr","mr-imp","mr-argmax"), addcovar=NULL, intcovar=NULL, weights=NULL, use=c("all.obs", "complete.obs"), upper=FALSE, ties.random=FALSE, start=NULL, maxit=4000, tol=1e-4, n.perm=1000, perm.Xsp=FALSE, perm.strata=NULL, verbose=TRUE) scanone.perm.engine(n.perm, cross, pheno.col, model, method, addcovar, intcovar, weights, use, upper, ties.random, start, maxit, tol, verbose, perm.strata) scanoneXnull(type, sexpgm) scantwo.perm(cross, pheno.col=1, model=c("normal","binary"), method=c("em","imp","hk","mr","mr-imp","mr-argmax"), addcovar=NULL, intcovar=NULL, weights=NULL, use=c("all.obs", "complete.obs"), incl.markers=FALSE, clean.output=FALSE, maxit=4000, tol=1e-4, verbose=FALSE, n.perm=1000, perm.strata) scantwo.perm.engine(n.perm, cross, pheno.col, model, method, addcovar, intcovar, weights, use, incl.markers, clean.output, maxit, tol, verbose, perm.strata) sim.bcg(n.ind, map, m, p, map.function=c("haldane","kosambi","c-f","morgan")) sim.cc(parents, n.ril=1, error.prob=0, missing.prob=0, m=0, step=0) sim.cross.4way(map, model, n.ind, error.prob, missing.prob, partial.missing.prob, keep.errorind, m, p, map.function) sim.cross.bc(map, model, n.ind, error.prob, missing.prob, keep.errorind, m, p, map.function) sim.cross.f2(map, model, n.ind, error.prob, missing.prob, partial.missing.prob, keep.errorind, m, p, map.function) sim.ril(map, n.ril=1, n.str=c("2","4","8"), m=0, random.cross=TRUE) subrousummaryscantwo(object, for.perm=FALSE) ## S3 method for class 'scantwocondensed': summary(object, thresholds, what=c("best", "full", "add", "int"), perms, alphas, lodcolumn=1, pvalues=FALSE, df=FALSE, allpairs=TRUE, ...) vbscan(cross, pheno.col=1, upper=FALSE, method="em", maxit=4000, tol=1e-4) write.cross.csv(cross, filestem="data", digits=5, rotate=FALSE, split=FALSE) write.cross.gary(cross, digits) write.cross.mm(cross, filestem="data", digits=5) write.cross.qtlcart(cross, filestem="data")
Karl W Broman, kbroman@jhsph.edu