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For fit plotting purposes, it will be useful to write to file the full table of fits to each data type and each composition. This may be most easily dealt with in R using a (BIG) single table across data types, with appropriate flags for the different columns depending on the data type.
I suggest something like the comp report in SS, e.g.
Data | Flt | Yr | Area | Spp | Type | effN | sizebin | Obs | CV | Exp | resid | nLL
CATCH | 1 | 1 | 1 | 2 | NA | NA | NA | 1000 | 0.1 | 1500 | -0.405 | -13.74
CATCH_SIZE | 1 | 1 | 1 | 2 | NA | 100 | 1 | 0.2 | NA | 0.15 | -0.405 | -5.753
etc.
(not sure why my markdown table isn't rendering)
@sgaichas any thoughts? (realize there'll need to be an extra column(s) to handle the diet data) We could also create separate tables (might make sense to keep the catch/index data separate from the composition).
This table will be BIG with the comp data, so could write to a separate output file rather than the .rep file.
The text was updated successfully, but these errors were encountered:
For fit plotting purposes, it will be useful to write to file the full table of fits to each data type and each composition. This may be most easily dealt with in R using a (BIG) single table across data types, with appropriate flags for the different columns depending on the data type.
I suggest something like the comp report in SS, e.g.
Data | Flt | Yr | Area | Spp | Type | effN | sizebin | Obs | CV | Exp | resid | nLL
CATCH | 1 | 1 | 1 | 2 | NA | NA | NA | 1000 | 0.1 | 1500 | -0.405 | -13.74
CATCH_SIZE | 1 | 1 | 1 | 2 | NA | 100 | 1 | 0.2 | NA | 0.15 | -0.405 | -5.753
etc.
(not sure why my markdown table isn't rendering)
@sgaichas any thoughts? (realize there'll need to be an extra column(s) to handle the diet data) We could also create separate tables (might make sense to keep the catch/index data separate from the composition).
This table will be BIG with the comp data, so could write to a separate output file rather than the .rep file.
The text was updated successfully, but these errors were encountered: