Transform CSSW Body to SeaSonde CS Data Structure
Source:R/SeaSondeRCSSW.R
seasonder_CSSW2CSData.RdThis function converts the body structure of a CSSW file into a list of matrices that conform to the data structure required for creating a SeaSondeRCS object. The conversion is performed by mapping specific fields:
- SSA1, SSA2, SSA3
Matrices are built using the numeric vectors found in the
cs1a,cs2aandcs3afields respectively.- CS12, CS13, CS23
Each complex cross-spectra matrix is formed by combining the real parts from
c12m,c13mandc23mwith the corresponding imaginary parts fromc12a,c13aandc23a.- QC
The quality control matrix is obtained directly from the
csqffield.
Value
A list with the following components:
- SSA1
A numeric matrix containing self-spectra from
cs1a.- SSA2
A numeric matrix containing self-spectra from
cs2a.- SSA3
A numeric matrix containing self-spectra from
cs3a.- CS12
A complex matrix formed by pairing
c12m(real) andc12a(imaginary).- CS13
A complex matrix formed by pairing
c13m(real) andc13a(imaginary).- CS23
A complex matrix formed by pairing
c23m(real) andc23a(imaginary).- QC
A numeric matrix containing the quality control data from
csqf.
Details
Each row in the output matrices corresponds to the index provided by cell$indx$index in the input list.
The function first determines the maximum index among the cells in the body, which defines the number of rows
for the matrices. Then, it calculates the number of columns for each matrix based on the length of the corresponding
vectors from the first cell where they appear. Finally, each cell's data is inserted into the appropriate row
of the matrices as indicated by the cell's indx$index value.
Examples
# Example with a single cell
cell <- list(
indx = list(index = 1),
cs1a = c(1, 2, 3),
cs2a = c(4, 5, 6),
cs3a = c(7, 8, 9),
c12m = c(10, 11, 12),
c12a = c(13, 14, 15),
c13m = c(16, 17, 18),
c13a = c(19, 20, 21),
c23m = c(22, 23, 24),
c23a = c(25, 26, 27),
csqf = c(28, 29, 30)
)
body <- list(cell)
transformed <- seasonder_CSSW2CSData(body)
print(transformed)
#> $SSA1
#> [,1] [,2] [,3]
#> [1,] 1 2 3
#>
#> $SSA2
#> [,1] [,2] [,3]
#> [1,] 4 5 6
#>
#> $SSA3
#> [,1] [,2] [,3]
#> [1,] 7 8 9
#>
#> $CS12
#> [,1] [,2] [,3]
#> [1,] 9.743701+2.249511i 10.67325+2.661141i 11.59111+3.105829i
#>
#> $CS13
#> [,1] [,2] [,3]
#> [1,] 15.1283+5.20909i 15.97477+5.814342i 16.80445+6.450623i
#>
#> $CS23
#> [,1] [,2] [,3]
#> [1,] 19.93877+9.297602i 20.67226+10.08254i 21.38416+10.89577i
#>
#> $QC
#> [,1] [,2] [,3]
#> [1,] 28 29 30
#>