[R] correlation matrix

["Dénes TÓTH"]

And you might also consider packages like corrplot, corrgram etc. for
other plotting options of a correlation matrix.
They can be more informative than simply invoking image(heat)



> What a pleasant post to respond to - with self-contained code. :)
>
> heat<-matrix(0,nrow=dim(xa)[1],ncol=dim(xa)[2])
>
> heat[lower.tri(heat)]<-xa[lower.tri(xa)]
> heat[upper.tri(heat)]<-xb[upper.tri(xb)]
> diag(heat)<-1
>
> heat
>
> HTH,
> Daniel
>
>
> 1Rnwb wrote:
>>
>> Hello Gurus
>> I have two correlation matrices 'xa' and 'xb'
>> set.seed(100)
>> d=cbind(x=rnorm(20)+1,
>> x1=rnorm(20)+1,
>> x2=rnorm(20)+1)
>>
>>
>> d1=cbind(x=rnorm(20)+2,
>> x1=rnorm(20)+2,
>> x2=rnorm(20)+2)
>>
>> xa=cor(d,use='complete')
>>
>> xb=cor(d1,use='complete')
>>
>>
>>
>> I want to combine these two to get a third matrix which should have half
>> values from 'xa' and half values from 'xb'
>>            x         x1         x2
>> x  1.0000000  -0.15157123 -0.23085308
>> x1 0.3466155 1.00000000  -0.01061675
>> x2 0.1234507 0.01775527 1.00000000
>>
>> I would like to generate a heatmap for correlation values in disease and
>> non disease phenotype
>>
>> I would appreciate if someone can point me in correct direction.
>> Thanks
>> sharad
>>
>
> --
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