I have some matrices stored as elements in a list that I am working
with. On example is provided below as TP[[18]]
> TP[[18]]
level2
level1 1 2 3 4
1 79 0 0 0
2 0 0 0 0
3 0 0 0 0
4 0 0 0 0
Now, using prop.table on this gives
> prop.table(TP[[18]],1)
level2
level1 1 2 3 4
1 1 0 0 0
2
3
4
It is important for the zero's to retain their position as this matrix
will subsequently be used in some matrix multiplication and hence, must
be of dimension 4 by 4 so that is it conformable for multiplcation with
another matrix.
In looking at the structure of the object resulting from prop.table I
see NaNs, and so I can do this
> rr <- TP[[18]]
> rr[is.na(rr)] <- 0
> rr
level2
level1 1 2 3 4
1 79 0 0 0
2 0 0 0 0
3 0 0 0 0
4 0 0 0 0
This is exactly what I want for each matrix. But, I have multiple
matrices stored within the list that need to be changed and so I am
trying to resolve this via lapply, but something is awry (namely the
user), but I could use a little help.
I was thinking the following function should work, but it doesn't. It
reduces each matrix within the list to a 0.
PP <- lapply(TP, function(x) x[is.na(x)] <- 0)
Am I missing something obvious?
Harold
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