Dear Stephen,
Perhaps this<http://www.nabble.com/Re:-applying-cor.test-to-a-(m,-n)-matrix---SUMMARY-to17150239.html#a17150239>post
could helps. In general:


# Function
correl.stats=function(X, method = "pearson", use = "complete" , conf.level =
0.95){
require(forward)
combs=t(fwd.combn(colnames(X), 2))
temp=t(apply(combs,1, function(x){
Y=X[,as.character(x)]
res=cor.test(Y[,1],Y[,2], use = use, method = method, conf.level =
conf.level)
temp2=c(res$estimate, res$statistic, res$p.value, res$conf.int[1:2])
names(temp2)=c('rho','statistic','pvalue','lower','upper')
rm(res)
temp2
}
)
)
rownames(temp)=paste(combs[,1],combs[,2],sep="")
temp
}

# Data set
set.seed(123)
m <- matrix(rnorm(10*5), ncol=5); colnames(m)=paste("m",1:ncol(m),sep="")

# Correlations
res=correl.stats(m)
res
rho   statistic     pvalue       lower      upper
m1m2  0.57761512  2.00137666 0.08034470 -0.08173768 0.88528096
m1m3 -0.40595930 -1.25641472 0.24441138 -0.82477175 0.30046722
m1m4  0.67301956  2.57371995 0.03293644  0.07530295 0.91493950
m1m5 -0.34863673 -1.05210481 0.32348990 -0.80217657 0.36001727
m2m3 -0.56734869 -1.94869211 0.08716815 -0.88193296 0.09688755
m2m4  0.27131880  0.79731302 0.44828479 -0.43212763 0.76949303
m2m5 -0.25201740 -0.73658790 0.48241166 -0.76090564 0.44882739
m3m4 -0.43726491 -1.37521060 0.20634394 -0.83657173 0.26544083
m3m5  0.02265933  0.06410673 0.95045815 -0.61575185 0.64311043
m4m5  0.07453706  0.21141075 0.83785303 -0.58242262 0.67259801


# Filtering
res[res[,'rho']>0.6,]
 rho  statistic     pvalue      lower      upper
0.67301956 2.57371995 0.03293644 0.07530295 0.91493950


HTH,

Jorge


On Wed, Sep 3, 2008 at 11:04 AM, stephen sefick <ssefick@gmail.com> wrote:

> I have one hundred and six independent variable that I would like to
> preform a correlation analysis on.  Is there anyway to only get the
> values that are abolute value 0.6 or greater.
> thanks
>
>
> --
> Stephen Sefick
> Research Scientist
> Southeastern Natural Sciences Academy
>
> Let's not spend our time and resources thinking about things that are
> so little or so large that all they really do for us is puff us up and
> make us feel like gods. We are mammals, and have not exhausted the
> annoying little problems of being mammals.
>
>        -K. Mullis
>
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