snpMatrix-package: The snp.matrix and X.snp.matrix classes

Description Details Author(s)

Description

Implements classes and some basic methods for large-scale SNP association studies

Details

Package: snpMatrix
Version: 1.2.4
Date: 2008-03-17
Depends: R(>= 2.3.0), survival, methods
Suggests: hexbin
Enhances: genetics
License: GNU General Public Licence (GPLv3)
URL: http://www-gene.cimr.cam.ac.uk/clayton/software/
Collate: ld.with.R ss.R contingency.table.R glm\_test.R ibs.stats.R indata.R ld.snp.R ld.with.R.eml.R misc.R outdata.R qq\_chisq.R read.chiamo.R read.HapMap.R read.snps.pedfile.R single.R structure.R wtccc.sample.list.R wtccc.signals.R xstuff.R zzz.R
LazyLoad: yes
biocViews: Microarray, SNPsAndGeneticVariability
Packaged: Mon Mar 17 11:46:30 2008; david
Built: R 2.7.0; i686-pc-linux-gnu; 2008-03-17 11:47:01; unix

Index:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
X.snp-class             Class "X.snp"
X.snp.matrix-class      Class "X.snp.matrix"
epsout.ld.snp           Function to write an eps file directly to
                        visualize LD
for.exercise            Data for exercise in use of the snpMatrix
                        package
genotype-class          snpMatrix-internal
glm.test.control        Set up control object for GLM tests
ibs.stats               function to calculate the identity-by-state
                        stats of a group of samples
ibsCount                Count alleles identical by state
ibsDist                 Distance matrix based on identity by state
                        (IBS)
ld.snp                  Function to calculate pairwise D', $r^2$
ld.with                 function to calculate the LD measures of
                        specific SNPs against other SNPs
pair.result.ld.snp      Function to calculate the pairwise D', $r^2$,
                        LOD of a pair of specified SNPs
plot.snp.dprime         Function to draw the pairwise D' in a eps file
qq.chisq                Quantile-quantile plot for chi-squared tests
read.HapMap.data        function to import HapMap genotype data as
                        snp.matrix
read.pedfile.info       function to read the accompanying info file of
                        a LINKAGE ped file
read.snps.chiamo        Read genotype data from the output of Chiamo
read.snps.long          Read SNP data in long format
read.snps.long.old      Read SNP input data in "long" format (old
                        version)
read.snps.pedfile       Read genotype data from a LINKAGE "pedfile"
read.wtccc.signals      read normalized signals in the WTCCC signal
                        file format
row.summary             Summarize rows of a snp matrix
single.snp.tests        1-df and 2-df tests for genetic associations
                        with SNPs
snp-class               Class "snp"
snp.cbind               Bind together two or more snp.matrix objects
snp.cor                 Correlations with columns of a snp.matrix
snp.dprime-class        Class "snp.dprime" for Results of LD
                        calculation
snp.lhs.tests           Score tests with SNP genotypes as dependent
                        variable
snp.matrix-class        Class "snp.matrix"
snp.pre                 Pre- or post-multiply a snp.matrix object by a
                        general matrix
snp.rhs.tests           Score tests with SNP genotypes as independent
                        variable
snpMatrix-package       The snp.matrix and X.snp.matrix classes
testdata                Test data for the snpMatrix package
write.snp.matrix        Write a snp.matrix object as a text file
wtccc.sample.list       read the sample list from the header of the
                        WTCCC signal file format
xxt                     X.X-transpose for a normalised snp.matrix

Further information is available in the following vignettes:

snpMatrix-vignette snpMatrix (source, pdf)

Author(s)

David Clayton <[email protected]> and Hin-Tak Leung <[email protected]>

Maintainer: David Clayton <[email protected]>


chopsticks documentation built on Nov. 1, 2018, 3:36 a.m.