View source: R/polyqtlR_functions.R
exploreQTL | R Documentation |
Function to explore the possible segregation type at a QTL position using the Schwarz Information Criterion
exploreQTL(
IBD_list,
Phenotype.df,
genotype.ID,
trait.ID,
linkage_group,
LOD_data,
cM = NULL,
QTLconfig = NULL,
plotBIC = TRUE,
deltaBIC = 6,
testAllele_Effects = TRUE,
log = NULL
)
IBD_list |
List of IBD probabilities |
Phenotype.df |
A data.frame containing phenotypic values |
genotype.ID |
The colname of |
trait.ID |
The colname of |
linkage_group |
Numeric identifier of the linkage group being tested, based on the order of |
LOD_data |
Output of |
cM |
By default |
QTLconfig |
Nested list of homologue configurations and modes of action of QTL to be explored and compared, the output of
|
plotBIC |
Logical, with default |
deltaBIC |
Numeric, by default 6. Configurations within this distance of the minimum BIC are considered plausible. |
testAllele_Effects |
Logical, with default |
log |
Character string specifying the log filename to which standard output should be written. If |
List with the following items:
Linkage group of the QTL peak being explored
CentiMorgan position of the locus being explored
Vector of BIC values corresponding to elements of QTLconfig
provided for testing
Summary of the means and standard errors of groups with (+)
and without(-) the specified allele combinations for the most likely QTLconfig
if testAllele_Effects
= TRUE
(NULL
otherwise).
A one-column matrix of mean phenotype values of offspring classes, with rownames
corresponding to the genotype class. If the probability of certain genotype classes is 0 (e.g. double reduction
classes where no double reduction occurred), then the genotype mean for that class will be NA
data("IBD_4x","BLUEs.pheno","qtl_LODs.4x")
exploreQTL(IBD_list = IBD_4x,
Phenotype.df = BLUEs.pheno,
genotype.ID = "Geno",
trait.ID = "BLUE",
linkage_group = 1,
LOD_data = qtl_LODs.4x)
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