One problem I've been having is the special case in which only one
row/column remains and the variable gets converted into a vector when
entries are removed by logical masking. This is a problem because subsequent
code may rely on matrix operations (apply, colsums, dim, etc) For example:
> a <- matrix(c(1, 2, 3, 4), nrow = 2)
> a
[,1] [,2]
[1,] 1 3
[2,] 2 4
> rmask <- c(TRUE, FALSE)
> b <- a[rmask, ]
> colSums(b)
Error in colSums(b) : 'x' must be an array of at least two dimensions
To ensure the code works regardless of how the matrix gets modified, I need
to explicitly recast results to a matrix, for example:
b <- matrix(a[rmask, ], ncol = 2)
This can get messy, requiring extra work to maintain column/row names or
additional commands to determine the correct dimensions of the matrix (for
example, if I'm masking both rows and columns simultaneously). Is there a
more elegant way to deal with this in R?
~A
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
