Comments (6)
Good point! The DD files were probably generated with P22. Sorry for that!
Basically, the period definition used in a case is set in Cases. ~ActivePDef is the defaul value that is used when a new case is created.
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Aha, thanks for the pointer. Currently I don't think we're reading any json files as input. I suppose the correct thing to do is to also read Cases.json and generate DD files for a particular case?
Do you know which of the 3 cases the DD files correspond to?
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That would be best! As far as I remember, I generated DDs, so that they could be used for any of the cases. At least this was the intention! Groups contains an overview of DDs belonging to specific group (i.e. using checked: true
). Cases specifies the group that is used. Normally the name of a case and the group it uses are similar.
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Regarding parameters B, M and E:
- B - beginning year of each model period
- M - middle year of each period (in which of the DDs do get it?)
- E - ending year of each model period
~StartYear indicates the starting point for definition of available model periods.
~StartYear
2018
~TimePeriods
Short | Medium | Long |
---|---|---|
1 | 2 | 3 |
1 | 1 | 1 |
2 | 1 | |
3 | 4 | |
1 | ||
1 |
Period definition names don't have to include number of periods, so it is best not to rely on such info.
The above input would result in the following B and E:
Short
B
ALLYEAR | Value |
---|---|
2018 | 2018 |
2019 | 2019 |
E
ALLYEAR | Value |
---|---|
2018 | 2018 |
2019 | 2019 |
Medium
B
ALLYEAR | Value |
---|---|
2018 | 2018 |
2020 | 2020 |
2021 | 2021 |
2024 | 2023 |
E
ALLYEAR | Value |
---|---|
2018 | 2019 |
2020 | 2020 |
2021 | 2022 |
2024 | 2025 |
Long
B
ALLYEAR | Value |
---|---|
2019 | 2018 |
2021 | 2021 |
2022 | 2022 |
2024 | 2023 |
2027 | 2027 |
2028 | 2028 |
E
ALLYEAR | Value |
---|---|
2019 | 2020 |
2021 | 2021 |
2022 | 2022 |
2024 | 2026 |
2027 | 2027 |
2028 | 2028 |
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Is there any documentation for the json files?
from times-excel-reader.
Not that I'm aware of...
I can probably tell how most of the info is used / help create one.
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