families
(Package: snpStats) :
Test data for family association tests
These data started life as real data derived from an affected sibling pair study of type 1 diabetes. However, original subject and SNP identidiers have been replaced by randomly chosen ones.
for.exercise
(Package: snpStats) :
Data for exercise in use of the snpStats package
These data have been created artificially from publicly available datasets. The SNPs have been selected from those genotyped by the International HapMap Project (http://www.hapmap.org) to represent the typical density found on a whole genome association chip, (the Affymetrix 500K platform, http://www.affymetrix.com/support/technical/sample_data/500k_hapmap_genotype_data.affx for a moderately sized chromosome (chromosome 10). A study of 500 cases and 500 controls has been simulated allowing for recombination using beta software from Su and Marchini (http://www.stats.ox.ac.uk/~marchini/software/gwas/hapgen.html). Re-sampling of cases was weighted in such a way as to simulate three “causal” locus on this chromosome, with multiplicative effects of 1.3, 1.4 and 1.5 for each copy of the risk allele.
ld.example
(Package: snpStats) :
Datasets to illustrate calculation of linkage disequilibrium statistics
This R data file contains data from the International HapMap project, concerning 603 SNPs spanning a one megabase region on chromosome 22, in a sample of Europeans and a sample of Africans
The first five files concern data on 20 diallelic loci on 120 subjects. These data are distributed with the Haploview package (Barrett et al., 2003). The sixth files contains a additional dataset of 18 SNPs in 100 subjects, coded in "long" format, and the seventh file duplicates this dataset in an alternative long format. These seven files are used in the data input vignette. The final file is a sample imputed genotype dataset distributed with the MACH imputation package, and used in the imputation vignette.
testdata
(Package: snpStats) :
Test data for the snpStats package
This dataset comprises several data frames from a fictional (and unrealistically small) study. The dataset started off as real data from a screen of non-synonymous SNPs for association with type 1 diabetes, but the original identifiers have been removed and a random case/control status has been generated.
providing 
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