run_rqtl | R Documentation |
Perform a genome scan using R/qtl
run_rqtl(
dataset,
trait,
method = c("hk", "ehk", "em", "imp", "mr", "mr-imp", "mr-argmax"),
model = c("normal", "binary", "2part", "np"),
n_perm = 0,
control_marker = NULL,
interval_mapping = FALSE,
url = gnapi_url()
)
dataset |
ID for dataset being used ( |
trait |
ID for trait being mapped |
method |
Indicates whether to use the EM algorithm, imputation, Haley-Knott regression, the extended Haley-Knott method, or marker regression. |
model |
The phenotype model: the usual normal model, a model for binary traits, a two-part model, or non-parametric analysis |
n_perm |
Number of permutations |
control_marker |
Name of marker to use as a covariate |
interval_mapping |
Whether to use interval mapping |
url |
The URL for the GeneNetwork API |
A data frame
out <- run_rqtl("HC_M2_0606_P", "1418701_at")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.