Hello,
I am trying to iteratively build a build a panel of variables to
discriminate between two groups.
My starting position is a matrix of experimental data and I have a function
that will work through all pairs of variables and produce sensitivities,
specificities and p-values for each pair and write it to a file (above
particular cut-offs).
I have a second function that will read that file in and use the pairs as a
'seed' adding a third variable from the original matrix and performing the
same calculations and writing a new file.
My aim is to iterate through this procedure five or six times.
My difficulty is making the index vector to extract the values I need from
the matrix of experimental data.
The seed panel is a row in a data.frame:
print(seed_panel[i,])
V2 V3
1 507D22 518F15
and the variable to add to it is a rowname of the experimental matrix:
print(rownames(Control[j,]))
[1] "505E01"
I haven't found a way to combine these three - I would like a vector
c("507D22","518F15","505E01") - to subscript the matrix of experimental
data.
IndexList <- c(as.vector( seed_panel[ i, ], mode="any"), rownames( Control[
j, ] ) )
Gives:
$V2
[1] 507D22
18 Levels: 507D22 518F15 522C17 522K21 523A19 528H06 528P11 530H18 ...
585K18
$V3
[1] 518F15
20 Levels: 518F15 522C17 522K21 523A19 528H06 528P11 530H18 534L09 ...
590C18
[[3]]
[1] "505E01"
and I haven't had any luck with variations on this that I've tried.
Many thanks in advance for any help.
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