Description Details Author(s) References Examples
functions to perform ROR for sequence-based association analysis
Package: | HAP.ROR |
Type: | Package |
Version: | 1.0 |
Date: | 2013-03-23 |
License: | GPL-2 |
Lue Ping Zhao and Xin Huang
Maintainer: Xin Huang <xhuang.fhcrc@gmail.com>
Zhao, L.P. and Huang, X. Recursive organizer (ROR): an analytic framework for sequence-based association analysis. Human Genetics, 2013
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | library("HAP.ROR")
data(case.sub)
data(ctl.sub)
data(lib.sub)
data(lib.sub.names)
ror.res <- HAP.ror(case.sub, ctl.sub, lib.sub, lib.sub.names, alpha=0.01, ref.level="101");
# grouping result:
round(ror.res$dev.list, 2);
round(ror.res$AIC.list, 2);
ror.res$df.list;
ror.res$deleted.snps;
ror.res$grp.result;
ror.res$significant;
# model summary:
ror.res$model.summary;
# output tables and figures used for ror result
data(proteinf)
ODS.ror(case.sub=case.sub, ctl.sub=ctl.sub, lib.sub=lib.sub, lib.sub.names=lib.sub.names, records=ror.res$records, dev.list=ror.res$dev.list, AIC.list=ror.res$AIC.list, deleted.snps.ls=ror.res$deleted.snps.ls, proteinf=proteinf, locus="DRB1*", ref.level="101");
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.