Description Usage Arguments Value Author(s) References Examples
This function calls the functions required to run a full ESPRESSO analysis where the model consists of an outcome (binary or continuous) determined by two bi-allelic SNPs that modelled as being in LD
1 2 | run.espresso.LD(simulation.params = NULL, pheno.params = NULL,
geno1.params = NULL, geno2.params = NULL, scenarios2run = 1)
|
simulation.params |
general parameters for the scenario(s) to analyse |
pheno.params |
paramaters for the outcome variables |
geno1.params |
parameters for the first genetic determinant |
geno2.params |
parameters for the second genetic determinant |
scenarios2run |
the indices of the scenarios one wish to analyse |
a summary table that contains both the input parameters and the results of the analysis
Gaye A.
Montana, G. 2005, HapSim: a simulation tool for
generating haplotype data with pre-specified allele
frequencies and LD coefficients.
, Bioinformatics,
vol. 21 (23), pp.4309-4311.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
# load the table that hold the input parameters; each of the table
# hold parameters for 4 scenarios:
# scenario 1: a binary outcome determined by two binary SNPs in LD
# scenario 2: a binary outcome determined by two additive SNPs in LD
# scenario 3: a quantitative outcome determined by two binary SNPs in LD
# scenario 4: a quantitative outcome determined by two additive SNPs in LD
data(simulation.params)
data(pheno.params)
data(geno1.params)
data(geno2.params)
# run the function for the first two scenarios, two binomial models
run.espresso.LD(simulation.params, pheno.params, geno1.params, geno2.params, scenarios2run=c(1,2))
# run the function for the last two scenarios, two gaussian models
run.espresso.LD(simulation.params, pheno.params, geno1.params, geno2.params, scenarios2run=c(3,4))
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.