getVariances: getVariances

In BGLR: Bayesian Generalized Linear Regression

getVariances

Description

Computes the sample-variance (var()) for sets of markers as well as the total variance.

Usage

	getVariances(X, B, sets, verbose=TRUE)

Arguments

X	(numeric, n \times p) incidence matrix for \boldsymbol \beta.
B	(numeric), object returned by the function readBinMat().
sets	(numeric).
verbose	(logical), if TRUE it shows progress information in the console.

Value

A matrix with variances for markers as well as the total.

Author(s)

Gustavo de los Campos.

Examples

## Not run: 
#Demos

library(BGLR)
data(wheat)
y=wheat.Y[,1] ; X=scale(wheat.X)
dir.create('test_saveEffects')
setwd('test_saveEffects')
fm=BGLR(y=y,ETA=list(list(X=X,model='BayesB',saveEffects=TRUE)),nIter=12000,thin=2,burnIn=2000)
B=readBinMat('ETA_1_b.bin')
plot(B[,1],type='o',col=4)
VAR=getVariances(B=B,X=X,sets=sample(1:20,size=1279,replace=T))
head(VAR)
plot(VAR[,"total"])


## End(Not run)

BGLR documentation built on Oct. 8, 2024, 9:07 a.m.