Parse one record (event x station x owner) into a LONG time-series table.
parseRecord.RdReads <path>/<OwnerID>/<EventID>/<StationID>/raw.owner/ according
to the owner's format and returns LONG (t, OCID, s). NPTS divergence
between components is not enforced.
Examples
root <- file.path(tempdir(), "gmsp-parse-example")
unlink(root, recursive = TRUE)
raw <- file.path(root, "ESM", "E1", "S1", "raw.owner")
dir.create(raw, recursive = TRUE)
writeLines(c("0 1", "0.01 2", "0.02 3"), file.path(raw, "N_acc.txt"))
writeLines(c("0 2", "0.01 3", "0.02 4"), file.path(raw, "E_acc.txt"))
writeLines(c("0 0", "0.01 1", "0.02 0"), file.path(raw, "Z_acc.txt"))
rows <- data.table::data.table(
OwnerID = "ESM", EventID = "E1", StationID = "S1",
FileID = c("N_acc.txt", "E_acc.txt", "Z_acc.txt")
)
parseRecord(rows, path = root)
#> t OCID s
#> <num> <char> <int>
#> 1: 0.00 N 1
#> 2: 0.01 N 2
#> 3: 0.02 N 3
#> 4: 0.00 E 2
#> 5: 0.01 E 3
#> 6: 0.02 E 4
#> 7: 0.00 Z 0
#> 8: 0.01 Z 1
#> 9: 0.02 Z 0