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#$Header: /projects/genetics/cvs/cvsroot/haplo.stats/R/print.seqhap.q,v 1.6 2011/11/22 20:29:22 sinnwell Exp $
#$Locker: $
#$Log: print.seqhap.q,v $
#Revision 1.6 2011/11/22 20:29:22 sinnwell
#take out S exception
#
#Revision 1.5 2009/03/04 14:57:30 sinnwell
#for R use pchisq( x, p, lower=FALSE) instead of 1-pchisq
#
#Revision 1.4 2008/09/23 19:07:54 sinnwell
#use digits on signif(p, digits) for region-based p-values
#
#Revision 1.3 2007/05/25 15:38:20 sinnwell
#change inlist to scanned.loci
#
#Revision 1.2 2007/04/16 20:11:29 sinnwell
#add ...
#
#Revision 1.1 2007/04/06 19:31:34 sinnwell
#Initial revision
#
#$Author: sinnwell $
#$Date: 2011/11/22 20:29:22 $
# License:
#
# Copyright 2003 Mayo Foundation for Medical Education and Research.
#
# This program is free software; you can redistribute it and/or modify it under the terms of
# the GNU General Public License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
#
# You should have received a copy of the GNU General Public License along with this
# program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,
# Boston, MA 02111-1307 USA
#
# For other licensing arrangements, please contact Daniel J. Schaid.
#
# Daniel J. Schaid, Ph.D.
# Division of Biostatistics
# Harwick Building Room 775
# Mayo Clinic
# 200 First St., SW
# Rochester, MN 55905
#
# phone: 507-284-0639
# fax: 507-284-9542
# email: schaid@mayo.edu
#
print.seqhap <- function(x, digits=max(options()$digits-2, 5), ...)
{
if(x$converge==0)
warning("EM for haplotype probabilities failed to converge")
else
{
printBanner("Single-locus Chi-square Test")
cat("Regional permuted P-value based on single-locus test is ",
signif(x$chi.p.region, digits),"\n")
chi.test <- data.frame(chi.stat=round(x$chi.stat,digits),
perm.point.p=x$chi.p.point,
asym.point.p= round(pchisq(x$chi.stat,1,
lower.tail=FALSE),digits))
row.names(chi.test) <- c(x$locus.label)
print(chi.test)
cat("\n\n")
printBanner("Sequential Scan")
cat("Loci Combined in Sequential Analysis\n")
scanned.loci <- x$scanned.loci
for(i in 1:dim(scanned.loci)[1]){
cat('seq-')
cat(x$locus.label[i], scanned.loci[i,scanned.loci[i,]!=0],
sep=" ","\n")
}
cat("\n\n")
printBanner("Sequential Haplotype Test")
cat("Regional permuted P-value based on sequential haplotype test is ",
signif(x$hap.p.region, digits),"\n")
hap.test <- data.frame(hap.stat=round(x$hap.stat,digits),
df=x$hap.df,
perm.point.p=x$hap.p.point,
asym.point.p= round(pchisq(x$hap.stat,x$hap.df,
lower.tail=FALSE),digits))
row.names(hap.test) <- paste(rep('seq-',length(x$locus.label)),
x$locus.label,sep='')
print(hap.test)
cat("\n\n")
printBanner("Sequential Sum Test")
cat("Regional permuted P-value based on sequential sum test is ",
signif(x$sum.p.region, digits),"\n")
sum.test <- data.frame(sum.stat=round(x$sum.stat,digits),
df=x$sum.df,
perm.point.p=x$sum.p.point,
asym.point.p = round(pchisq(x$sum.stat,x$sum.df,
lower.tail=FALSE),digits))
row.names(sum.test) <- paste(rep('seq-',length(x$locus.label)),
x$locus.label,sep='')
print(sum.test)
}
invisible()
}
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