Dear R Users,
I have always used ASReml, MTDFREML, SAS, etc. to estimate genetic correlation
(Rg) between two continuous quantitative traits (also continuous and binary
trait) but I have never used R package to estimate Rg. However, I use R package
for many of my other statistical analysis needs
Dear R Users,
I have always used ASReml, MTDFREML, SAS, etc. to estimate genetic correlation
(Rg) between two continuous quantitative traits (also continuous and binary
trait) but never used R to estimate Rg. However, I use R for many of my other
statistical analysis needs; the R package is a gr
Dear R users,
I am using the beadarray package. I am trying to upload raw bead-level data
using these commands:
library(beadarray)
datadir <- ("C:/Computer_programs/R/beadarray/cecilia")
targets = read.table("targets.txt", sep = "\t", he
In using the NLME package (R 2.6.1 for Windows), I am having a problem in
running an R script that used to run with no problems using a Linux OS in 2004.
So I am wondering if during these last ~3 yrs we had major changes in the
syntax of the NLME package that I am not aware.
This is the R scr
Dear R Users,
In the expresso function, which combination of these methods for data
pre-processing (when using affymetrix oligo arrays) is the best:
bgcorrect.metod = rma rma2 mas
normalize.method = qspline quantiles loess
pmcorrect.method = pmonly subtractmm mas
summary.method = liwong avgdif
Dear R Users,
In the expresso function, which combination of these methods for data
pre-processing (when using affymetrix oligo arrays) is the best:
bgcorrect.metod = rma rma2 mas
normalize.method = qspline quantiles loess
pmcorrect.method = pmonly subtractmm mas
summary.method = liwong avgdif
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