[R] Selective subsetting

[Dimitrios Rizopoulos]

try this:

cor.mat <- cor(iris[1:4])
cor.mat[lower.tri(cor.mat)]


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
      http://www.student.kuleuven.be/~m0390867/dimitris.htm


Quoting Davendra Sohal <dsohal at gmail.com>:

> Hi all,
> Here's an interesting (for me, at least!) problem I came across:
> I have a correlation matrix, let's say with 6 variables, A to F, as column
> headings and the same 6 as row headings.
> The matrix is filled with correlation coefficients. Therefore, the diagonal
> is all 1's, and each of the two triangles formed by the diagonal has the
> same 15 correlation coefficients.
> I need to extract these 15 coefficients from this. I don't want the 1's and
> I don't want redundant values.
> I tried converting the matrix to a list, using c(m) and then I'm stuck.
> Does something like b = a[x, x+1:n] exist in R? SAS will do it.
> x can be looped to go from 1 to n (n here is 6, of course) and it will
> select the required values, but I cannot make it work.
> Please help.
> Many thanks,
> -DS.
>
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>
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