QTL_forward {mppR} | R Documentation |
Forward regression QTL model
Description
Determines a multi-QTL model using a forward regression.
Usage
QTL_forward(
mppData = NULL,
trait = 1,
Q.eff,
threshold = 4,
window = 30,
n.cores = 1,
verbose = TRUE
)
Arguments
mppData |
An object of class mppData
|
trait |
Numerical or character indicator to specify which
trait of the mppData object should be used. Default = 1.
|
Q.eff |
Character vector of possible QTL effects the user want to
test. Elements of Q.eff can be "cr", "par", "anc" or "biall". For details
look at mpp_SIM .
|
threshold |
Numeric value representing the -log10(p-value) threshold
above which a position can be considered as significant. Default = 4.
|
window |
Numeric distance (cM) on the left and the right of a
cofactor position where it is not included in the model. Default = 30.
|
n.cores |
Numeric . Specify here the number of cores you like to
use. Default = 1.
|
verbose |
Logical value indicating if the steps of the
forward regression should be printed. Default = TRUE.
|
Details
Forward regression to determine the a multi-QTL model. The function
selects successively QTL positions with -log10(pval) above the threshold.
Those positions are added as cofactors for following detection run.
The procedure stop when no more position has a -log10(pval) above the
threshold.
Value
Return:
QTL |
Data.frame of class QTLlist with five columns :
1) QTL marker names; 2) chromosomes;
3) interger position indicators on the chromosome;
4) positions in centi-Morgan; and 5) -log10(p-values).
|
Author(s)
Vincent Garin
See Also
mpp_SIM
,
Examples
data(mppData)
QTL <- QTL_forward(mppData = mppData, Q.eff = "par")
[Package
mppR version 1.5.0
Index]