col_norm_to_vector: col_norm_to_vector normalizes all the frame-columns by a...
In interzoneboy/MS-prep: MSprep does basic parsing of sieve data

Pre-compute some other vector by which to normalize (like from a different by identically-dimensioned matrix), and use it to normalize the columns of the input matrix.

1	col_norm_to_vector(dd, normVector, rowInds = NULL, colInds = NULL)

`dd`	input data frame to normalize
`normVector`	This is a vector that will properly normalize the columns of this data frame, BEFORE any non-processed columns are removed from it. (i.e. it has to have exactly the same dimension as the pre-processed data frame it's going to normalize.). nounaetouh
`rowInds`	A span of rows over which to operate. These should be the data rows, and this is just so that you can have other ignored rows be in there. This can be NULL, in which case all rows are normalized, or it can be a vector of integer indices, or it can be a function that gets called with dd and which returns a vector of ints (see function 'span' in this package)
`colInds`	A span of columns over which to operate, just so that you can have other ignored columns be in there (time, mz, etc). This can be NULL, in which case all cols are normalized, or it can be a vector of integer indices, or it can be a function that gets called with dd and which returns a vector of ints (see function 'span' in this package)